#!/usr/bin/env python
#
-# Copyright 2004,2005 Free Software Foundation, Inc.
+# Copyright 2004,2005,2007 Free Software Foundation, Inc.
#
# This file is part of GNU Radio
#
# GNU Radio is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
-# the Free Software Foundation; either version 2, or (at your option)
+# the Free Software Foundation; either version 3, or (at your option)
# any later version.
#
# GNU Radio is distributed in the hope that it will be useful,
from gnuradio import gr, gru
from gnuradio import usrp
-import usrp_dbid
+from usrpm import usrp_dbid
from gnuradio import eng_notation
from gnuradio.eng_option import eng_option
-from gnuradio.wxgui import stdgui, ra_fftsink, ra_stripchartsink, ra_waterfallsink, form, slider
+from gnuradio.wxgui import stdgui2, ra_fftsink, ra_stripchartsink, ra_waterfallsink, form, slider, waterfallsink
from optparse import OptionParser
import wx
import sys
import Numeric
import time
-import FFT
+import numpy.fft
import ephem
-class continuum_calibration(gr.feval_dd):
- def eval(self, x):
- str = globals()["calibration_codelet"]
- exec(str)
- return(x)
-
-class app_flow_graph(stdgui.gui_flow_graph):
+class app_flow_graph(stdgui2.std_top_block):
def __init__(self, frame, panel, vbox, argv):
- stdgui.gui_flow_graph.__init__(self)
+ stdgui2.std_top_block.__init__(self, frame, panel, vbox, argv)
self.frame = frame
self.panel = panel
parser.add_option("-M", "--fft_rate", type="eng_float", default=8.0, help="FFT Rate")
parser.add_option("-A", "--calib_coeff", type="eng_float", default=1.0, help="Calibration coefficient")
parser.add_option("-B", "--calib_offset", type="eng_float", default=0.0, help="Calibration coefficient")
- parser.add_option("-Q", "--calib_eqn", default="x = x * 1.0", help="Calibration equation")
parser.add_option("-W", "--waterfall", action="store_true", default=False, help="Use Waterfall FFT display")
parser.add_option("-S", "--setimode", action="store_true", default=False, help="Enable SETI processing of spectral data")
- parser.add_option("-T", "--setitimer", type="eng_float", default=15.0, help="Timer for computing doppler chirp for SETI analysis")
parser.add_option("-K", "--setik", type="eng_float", default=1.5, help="K value for SETI analysis")
+ parser.add_option("-T", "--setibandwidth", type="eng_float", default=12500, help="Instantaneous SETI observing bandwidth--must be divisor of 250Khz")
+ parser.add_option("-Q", "--seti_range", type="eng_float", default=1.0e6, help="Total scan width, in Hz for SETI scans")
+ parser.add_option("-Z", "--dual_mode", action="store_true",
+ default=False, help="Dual-polarization mode")
+ parser.add_option("-I", "--interferometer", action="store_true", default=False, help="Interferometer mode")
(options, args) = parser.parse_args()
- if len(args) != 0:
- parser.print_help()
- sys.exit(1)
+
+ #if (len(args) == 0):
+ #parser.print_help()
+ #sys.exit()
self.show_debug_info = True
+
+ # Pick up waterfall option
self.waterfall = options.waterfall
+
+ # SETI mode stuff
self.setimode = options.setimode
self.seticounter = 0
- self.setitimer = int(options.setitimer)
self.setik = options.setik
- self.hitcounter = 0
- self.CHIRP_LOWER = 15
- self.CHIRP_UPPER = 50
+ self.seti_fft_bandwidth = int(options.setibandwidth)
+
+ # Calculate binwidth
+ binwidth = self.seti_fft_bandwidth / options.fft_size
+ # Use binwidth, and knowledge of likely chirp rates to set reasonable
+ # values for SETI analysis code. We assume that SETI signals will
+ # chirp at somewhere between 0.10Hz/sec and 0.25Hz/sec.
+ #
+ # upper_limit is the "worst case"--that is, the case for which we have
+ # to wait the longest to actually see any drift, due to the quantizing
+ # on FFT bins.
+ upper_limit = binwidth / 0.10
+ self.setitimer = int(upper_limit * 2.00)
+ self.scanning = True
+
+ # Calculate the CHIRP values based on Hz/sec
+ self.CHIRP_LOWER = 0.10 * self.setitimer
+ self.CHIRP_UPPER = 0.25 * self.setitimer
+
+ # Reset hit counters to 0
+ self.hitcounter = 0
+ self.s1hitcounter = 0
+ self.s2hitcounter = 0
+ self.avgdelta = 0
+ # We scan through 2Mhz of bandwidth around the chosen center freq
+ self.seti_freq_range = options.seti_range
+ # Calculate lower edge
+ self.setifreq_lower = options.freq - (self.seti_freq_range/2)
+ self.setifreq_current = options.freq
+ # Calculate upper edge
+ self.setifreq_upper = options.freq + (self.seti_freq_range/2)
+
+ # Maximum "hits" in a line
+ self.nhits = 20
+
+ # Number of lines for analysis
+ self.nhitlines = 4
+
+ # We change center frequencies based on nhitlines and setitimer
+ self.setifreq_timer = self.setitimer * (self.nhitlines * 5)
+
+ # Create actual timer
+ self.seti_then = time.time()
+
+ # The hits recording array
+ self.hits_array = Numeric.zeros((self.nhits,self.nhitlines), Numeric.Float64)
+ self.hit_intensities = Numeric.zeros((self.nhits,self.nhitlines), Numeric.Float64)
# Calibration coefficient and offset
self.calib_coeff = options.calib_coeff
self.calib_offset = options.calib_offset
+ if self.calib_offset < -750:
+ self.calib_offset = -750
+ if self.calib_offset > 750:
+ self.calib_offset = 750
- self.calib_eqn = options.calib_eqn
- globals()["calibration_codelet"] = self.calib_eqn
+ if self.calib_coeff < 1:
+ self.calib_coeff = 1
+ if self.calib_coeff > 100:
+ self.calib_coeff = 100
self.integ = options.integ
self.avg_alpha = options.avg
# Set initial values for datalogging timed-output
self.continuum_then = time.time()
self.spectral_then = time.time()
+
+ self.dual_mode = options.dual_mode
# build the graph
- self.u = usrp.source_c(decim_rate=options.decim)
- self.u.set_mux(usrp.determine_rx_mux_value(self.u, options.rx_subdev_spec))
- self.cardtype = self.u.daughterboard_id(0)
+ self.subdev = [(0, 0), (0,0)]
+ #
+ # If SETI mode, we always run at maximum USRP decimation
+ #
+ if (self.setimode):
+ options.decim = 256
+ if (self.dual_mode == False):
+ self.u = usrp.source_c(decim_rate=options.decim)
+ self.u.set_mux(usrp.determine_rx_mux_value(self.u, options.rx_subdev_spec))
+ # determine the daughterboard subdevice we're using
+ self.subdev[0] = usrp.selected_subdev(self.u, options.rx_subdev_spec)
+ self.subdev[1] = self.subdev[0]
+ self.cardtype = self.subdev[0].dbid()
+ else:
+ self.u=usrp.source_c(decim_rate=options.decim, nchan=2)
+ self.subdev[0] = usrp.selected_subdev(self.u, (0, 0))
+ self.subdev[1] = usrp.selected_subdev(self.u, (1, 0))
+ self.cardtype = self.subdev[0].dbid()
+ self.u.set_mux(0x32103210)
+
+
+ #
+ # Set 8-bit mode
+ #
+ width = 8
+ shift = 8
+ format = self.u.make_format(width, shift)
+ r = self.u.set_format(format)
+
# Set initial declination
self.decln = options.decln
- # determine the daughterboard subdevice we're using
- self.subdev = usrp.selected_subdev(self.u, options.rx_subdev_spec)
-
input_rate = self.u.adc_freq() / self.u.decim_rate()
#
#
self.fft_rate = options.fft_rate
- self.fft_size = options.fft_size
+ self.fft_size = int(options.fft_size)
# This buffer is used to remember the most-recent FFT display
# values. Used later by self.write_spectral_data() to write
- # spectral data to datalogging files.
- self.fft_outbuf = Numeric.zeros(options.fft_size, Numeric.Float64)
- self.old_hits = Numeric.zeros(10, Numeric.Float64)
- self.older_hits = Numeric.zeros(10, Numeric.Float64)
+ # spectral data to datalogging files, and by the SETI analysis
+ # function.
+ #
+ self.fft_outbuf = Numeric.zeros(self.fft_size, Numeric.Float64)
+
+ #
+ # If SETI mode, only look at seti_fft_bandwidth
+ # at a time.
+ #
+ if (self.setimode):
+ self.fft_input_rate = self.seti_fft_bandwidth
+
+ #
+ # Build a decimating bandpass filter
+ #
+ self.fft_input_taps = gr.firdes.complex_band_pass (1.0,
+ input_rate,
+ -(int(self.fft_input_rate/2)), int(self.fft_input_rate/2), 200,
+ gr.firdes.WIN_HAMMING, 0)
+
+ #
+ # Compute required decimation factor
+ #
+ decimation = int(input_rate/self.fft_input_rate)
+ self.fft_bandpass = gr.fir_filter_ccc (decimation,
+ self.fft_input_taps)
+ else:
+ self.fft_input_rate = input_rate
# Set up FFT display
if self.waterfall == False:
- self.scope = ra_fftsink.ra_fft_sink_c (self, panel,
- fft_size=int(self.fft_size), sample_rate=input_rate,
+ self.scope = ra_fftsink.ra_fft_sink_c (panel,
+ fft_size=int(self.fft_size), sample_rate=self.fft_input_rate,
fft_rate=int(self.fft_rate), title="Spectral",
ofunc=self.fft_outfunc, xydfunc=self.xydfunc)
else:
- self.scope = ra_waterfallsink.ra_waterfallsink_c (self, panel,
- fft_size=int(self.fft_size), sample_rate=input_rate,
- fft_rate=int(self.fft_rate), title="Spectral", ofunc=self.fft_outfunc, xydfunc=self.xydfunc)
+ self.scope = ra_waterfallsink.waterfall_sink_c (panel,
+ fft_size=int(self.fft_size), sample_rate=self.fft_input_rate,
+ fft_rate=int(self.fft_rate), title="Spectral", ofunc=self.fft_outfunc, size=(1100, 600), xydfunc=self.xydfunc, ref_level=0, span=10)
# Set up ephemeris data
self.locality = ephem.Observer()
self.locality.long = str(options.longitude)
self.locality.lat = str(options.latitude)
+ # We make notes about Sunset/Sunrise in Continuum log files
+ self.sun = ephem.Sun()
+ self.sunstate = "??"
# Set up stripchart display
+ tit = "Continuum"
+ if (self.dual_mode != False):
+ tit = "H+V Continuum"
self.stripsize = int(options.stripsize)
- self.chart = ra_stripchartsink.stripchart_sink_f (self, panel,
- stripsize=self.stripsize,
- title="Continuum",
- xlabel="LMST Offset (Seconds)",
- scaling=1.0, ylabel=options.ylabel,
- divbase=options.divbase)
+ if self.setimode == False:
+ self.chart = ra_stripchartsink.stripchart_sink_f (panel,
+ stripsize=self.stripsize,
+ title=tit,
+ xlabel="LMST Offset (Seconds)",
+ scaling=1.0, ylabel=options.ylabel,
+ divbase=options.divbase)
# Set center frequency
self.centerfreq = options.freq
else:
self.observing = options.observing
+ # Remember our input bandwidth
self.bw = input_rate
- # We setup the first two integrators to produce a fixed integration
- # Down to 1Hz, with output at 1 samples/sec
- N = input_rate/5000
-
- # Second stage runs on decimated output of first
- M = (input_rate/N)
-
- # Create taps for first integrator
- t = range(0,N-1)
- tapsN = []
- for i in t:
- tapsN.append(1.0/N)
-
- # Create taps for second integrator
- t = range(0,M-1)
- tapsM = []
- for i in t:
- tapsM.append(1.0/M)
-
#
- # The 3rd integrator is variable, and user selectable at runtime
- # This integrator doesn't decimate, but is used to set the
- # final integration time based on the constant 1Hz input samples
- # The strip chart is fed at a constant 1Hz rate as a result
+ #
+ # The strip chart is fed at a constant 1Hz rate
#
#
# Call constructors for receive chains
#
- # The three integrators--two FIR filters, and an IIR final filter
- self.integrator1 = gr.fir_filter_fff (N, tapsN)
- self.integrator2 = gr.fir_filter_fff (M, tapsM)
- self.integrator3 = gr.single_pole_iir_filter_ff(1.0)
+ if self.setimode == False:
+ # The IIR integration filter for post-detection
+ self.integrator = gr.single_pole_iir_filter_ff(1.0)
+ self.integrator.set_taps (1.0/self.bw)
- # Split complex USRP stream into a pair of floats
- self.splitter = gr.complex_to_float (1);
-
- # I squarer (detector)
- self.multI = gr.multiply_ff();
-
- # Q squarer (detector)
- self.multQ = gr.multiply_ff();
-
- # Adding squared I and Q to produce instantaneous signal power
- self.adder = gr.add_ff();
-
- # Signal probe
- self.probe = gr.probe_signal_f();
+ if (self.dual_mode == False):
+ # The detector
+ self.detector = gr.complex_to_mag_squared()
+
+ # Signal probe
+ self.probe = gr.probe_signal_f()
+
+ #
+ # Continuum calibration stuff
+ #
+ x = self.calib_coeff/100.0
+ self.cal_mult = gr.multiply_const_ff(self.calib_coeff/100.0)
+ self.cal_offs = gr.add_const_ff(self.calib_offset*(x*8000))
+
+ #
+ # Mega decimator after IIR filter
+ #
+ self.keepn = gr.keep_one_in_n(gr.sizeof_float, self.bw)
#
- # Continuum calibration stuff
+ # Start connecting configured modules in the receive chain
#
- self.cal_mult = gr.multiply_const_ff(self.calib_coeff);
- self.cal_offs = gr.add_const_ff(self.calib_offset);
-
- #self.cal_eqn = continuum_calibration();
-
+
+
#
- # Start connecting configured modules in the receive chain
+ # Handle dual-polarization mode
#
- self.connect(self.u, self.scope)
- self.connect(self.u, self.splitter)
-
- # Connect splitter outputs to multipliers
- # First do I^2
- self.connect((self.splitter, 0), (self.multI,0))
- self.connect((self.splitter, 0), (self.multI,1))
-
- # Then do Q^2
- self.connect((self.splitter, 1), (self.multQ,0))
- self.connect((self.splitter, 1), (self.multQ,1))
-
- # Then sum the squares
- self.connect(self.multI, (self.adder,0))
- self.connect(self.multQ, (self.adder,1))
-
- # Connect adder output to two-stages of FIR integrator
- # followed by a single stage IIR integrator, and
- # the calibrator
- self.connect(self.adder, self.integrator1,
- self.integrator2, self.integrator3, self.cal_mult,
- self.cal_offs, self.chart)
-
- # Connect calibrator to probe
- # SPECIAL NOTE: I'm setting the ground work here
- # for completely changing the way local_calibrator
- # works, including removing some horrible kludges for
- # recording data.
- # But for now, self.probe() will be used to display the
- # current instantaneous integrated detector value
- self.connect(self.cal_offs, self.probe)
+ if (self.dual_mode == False):
+ self.head = self.u
+ self.shead = self.u
+
+ else:
+ self.di = gr.deinterleave(gr.sizeof_gr_complex)
+ self.addchans = gr.add_cc ()
+ self.h_power = gr.complex_to_mag_squared()
+ self.v_power = gr.complex_to_mag_squared()
+ self.connect (self.u, self.di)
+
+ #
+ # For spectral, adding the two channels works, assuming no gross
+ # phase or amplitude error
+ self.connect ((self.di, 0), (self.addchans, 0))
+ self.connect ((self.di, 1), (self.addchans, 1))
+
+ #
+ # Connect heads of spectral and total-power chains
+ #
+ self.head = self.di
+ self.shead = self.addchans
+
+ #
+ # For dual-polarization mode, we compute the sum of the
+ # powers on each channel, after they've been detected
+ #
+ self.detector = gr.add_ff()
+
+ # The scope--handle SETI mode
+ if (self.setimode == False):
+ self.connect(self.shead, self.scope)
+ else:
+ self.connect(self.shead, self.fft_bandpass, self.scope)
+
+ if (self.setimode == False):
+ if (self.dual_mode == False):
+ self.connect(self.head, self.detector,
+ self.integrator, self.keepn, self.cal_mult, self.cal_offs, self.chart)
+ else:
+ #
+ # In dual-polarization mode, we compute things a little differently
+ # In effect, we have two radiometer chains, terminating in an adder
+ #
+ self.connect((self.di, 0), self.h_power)
+ self.connect((self.di, 1), self.v_power)
+ self.connect(self.h_power, (self.detector, 0))
+ self.connect(self.v_power, (self.detector, 1))
+ self.connect(self.detector,
+ self.integrator, self.keepn, self.cal_mult, self.cal_offs, self.chart)
+
+ # current instantaneous integrated detector value
+ self.connect(self.cal_offs, self.probe)
self._build_gui(vbox)
# Make GUI agree with command-line
self.integ = options.integ
- self.myform['integration'].set_value(int(options.integ))
+ if self.setimode == False:
+ self.myform['integration'].set_value(int(options.integ))
+ self.myform['offset'].set_value(self.calib_offset)
+ self.myform['dcgain'].set_value(self.calib_coeff)
self.myform['average'].set_value(int(options.avg))
- # Make integrator agree with command line
- self.set_integration(int(options.integ))
+
+ if self.setimode == False:
+ # Make integrator agree with command line
+ self.set_integration(int(options.integ))
self.avg_alpha = options.avg
self.scope.set_avg_alpha(float(1.0/options.avg))
self.scope.set_average(True)
- # Set division size
- self.chart.set_y_per_div(options.division)
-
- # Set reference(MAX) level
- self.chart.set_ref_level(options.reflevel)
+ if self.setimode == False:
+ # Set division size
+ self.chart.set_y_per_div(options.division)
+ # Set reference(MAX) level
+ self.chart.set_ref_level(options.reflevel)
# set initial values
if options.gain is None:
# if no gain was specified, use the mid-point in dB
- g = self.subdev.gain_range()
+ g = self.subdev[0].gain_range()
options.gain = float(g[0]+g[1])/2
if options.freq is None:
# if no freq was specified, use the mid-point
- r = self.subdev.freq_range()
+ r = self.subdev[0].freq_range()
options.freq = float(r[0]+r[1])/2
# Set the initial gain control
# RF hardware information
self.myform['decim'].set_value(self.u.decim_rate())
- self.myform['fs@usb'].set_value(self.u.adc_freq() / self.u.decim_rate())
- self.myform['dbname'].set_value(self.subdev.name())
+ self.myform['USB BW'].set_value(self.u.adc_freq() / self.u.decim_rate())
+ if (self.dual_mode == True):
+ self.myform['dbname'].set_value(self.subdev[0].name()+'/'+self.subdev[1].name())
+ else:
+ self.myform['dbname'].set_value(self.subdev[0].name())
# Set analog baseband filtering, if DBS_RX
- if self.cardtype == usrp_dbid.DBS_RX:
+ if self.cardtype in (usrp_dbid.DBS_RX, usrp_dbid.DBS_RX_REV_2_1):
lbw = (self.u.adc_freq() / self.u.decim_rate()) / 2
if lbw < 1.0e6:
lbw = 1.0e6
- self.subdev.set_bw(lbw)
-
+ self.subdev[0].set_bw(lbw)
+ self.subdev[1].set_bw(lbw)
# Start the timer for the LMST display and datalogging
self.lmst_timer.Start(1000)
def _build_gui(self, vbox):
def _form_set_freq(kv):
+ # Adjust current SETI frequency, and limits
+ self.setifreq_lower = kv['freq'] - (self.seti_freq_range/2)
+ self.setifreq_current = kv['freq']
+ self.setifreq_upper = kv['freq'] + (self.seti_freq_range/2)
+
+ # Reset SETI analysis timer
+ self.seti_then = time.time()
+ # Zero-out hits array when changing frequency
+ self.hits_array[:,:] = 0.0
+ self.hit_intensities[:,:] = -60.0
+
return self.set_freq(kv['freq'])
def _form_set_decln(kv):
# Position the FFT display
vbox.Add(self.scope.win, 15, wx.EXPAND)
- # Position the Total-power stripchart
- vbox.Add(self.chart.win, 15, wx.EXPAND)
+ if self.setimode == False:
+ # Position the Total-power stripchart
+ vbox.Add(self.chart.win, 15, wx.EXPAND)
# add control area at the bottom
self.myform = myform = form.form()
parent=self.panel, sizer=vbox1, label="Current LMST", weight=1)
vbox1.Add((4,0), 0, 0)
- myform['spec_data'] = form.static_text_field(
- parent=self.panel, sizer=vbox1, label="Spectral Cursor", weight=1)
- vbox1.Add((4,0), 0, 0)
+ if self.setimode == False:
+ myform['spec_data'] = form.static_text_field(
+ parent=self.panel, sizer=vbox1, label="Spectral Cursor", weight=1)
+ vbox1.Add((4,0), 0, 0)
vbox2 = wx.BoxSizer(wx.VERTICAL)
- g = self.subdev.gain_range()
+ if self.setimode == False:
+ vbox3 = wx.BoxSizer(wx.VERTICAL)
+ g = self.subdev[0].gain_range()
myform['gain'] = form.slider_field(parent=self.panel, sizer=vbox2, label="RF Gain",
weight=1,
min=int(g[0]), max=int(g[1]),
callback=self.set_gain)
vbox2.Add((4,0), 0, 0)
+ if self.setimode == True:
+ max_savg = 100
+ else:
+ max_savg = 3000
myform['average'] = form.slider_field(parent=self.panel, sizer=vbox2,
- label="Spectral Averaging (FFT frames)", weight=1, min=1, max=2000, callback=self.set_averaging)
+ label="Spectral Averaging (FFT frames)", weight=1, min=1, max=max_savg, callback=self.set_averaging)
+
+ # Set up scan control button when in SETI mode
+ if (self.setimode == True):
+ # SETI scanning control
+ buttonbox = wx.BoxSizer(wx.HORIZONTAL)
+ self.scan_control = form.button_with_callback(self.panel,
+ label="Scan: On ",
+ callback=self.toggle_scanning)
+
+ buttonbox.Add(self.scan_control, 0, wx.CENTER)
+ vbox2.Add(buttonbox, 0, wx.CENTER)
vbox2.Add((4,0), 0, 0)
- myform['integration'] = form.slider_field(parent=self.panel, sizer=vbox2,
- label="Continuum Integration Time (sec)", weight=1, min=1, max=180, callback=self.set_integration)
+ if self.setimode == False:
+ myform['integration'] = form.slider_field(parent=self.panel, sizer=vbox2,
+ label="Continuum Integration Time (sec)", weight=1, min=1, max=180, callback=self.set_integration)
+
+ vbox2.Add((4,0), 0, 0)
- vbox2.Add((4,0), 0, 0)
myform['decln'] = form.float_field(
parent=self.panel, sizer=vbox2, label="Current Declination", weight=1,
callback=myform.check_input_and_call(_form_set_decln))
vbox2.Add((4,0), 0, 0)
- buttonbox = wx.BoxSizer(wx.HORIZONTAL)
- vbox.Add(buttonbox, 0, wx.CENTER)
+ if self.setimode == False:
+ myform['offset'] = form.slider_field(parent=self.panel, sizer=vbox3,
+ label="Post-Detector Offset", weight=1, min=-750, max=750,
+ callback=self.set_pd_offset)
+ vbox3.Add((2,0), 0, 0)
+ myform['dcgain'] = form.slider_field(parent=self.panel, sizer=vbox3,
+ label="Post-Detector Gain", weight=1, min=1, max=100,
+ callback=self.set_pd_gain)
+ vbox3.Add((2,0), 0, 0)
hbox.Add(vbox1, 0, 0)
- hbox.Add(vbox2, wx.ALIGN_RIGHT, 0)
+ hbox.Add(vbox2, wx.ALIGN_RIGHT, 0)
+
+ if self.setimode == False:
+ hbox.Add(vbox3, wx.ALIGN_RIGHT, 0)
+
vbox.Add(hbox, 0, wx.EXPAND)
self._build_subpanel(vbox)
self.lmst_timer = wx.PyTimer(self.lmst_timeout)
- self.lmst_timeout()
+ #self.lmst_timeout()
def _build_subpanel(self, vbox_arg):
parent=panel, sizer=hbox, label="Decim")
hbox.Add((5,0), 1)
- myform['fs@usb'] = form.static_float_field(
- parent=panel, sizer=hbox, label="Fs@USB")
+ myform['USB BW'] = form.static_float_field(
+ parent=panel, sizer=hbox, label="USB BW")
hbox.Add((5,0), 1)
myform['dbname'] = form.static_text_field(
# Everything except BASIC_RX should support usrp.tune()
#
if not (self.cardtype == usrp_dbid.BASIC_RX):
- r = usrp.tune(self.u, 0, self.subdev, target_freq)
+ r = usrp.tune(self.u, self.subdev[0]._which, self.subdev[0], target_freq)
+ r = usrp.tune(self.u, self.subdev[1]._which, self.subdev[1], target_freq)
else:
r = self.u.set_rx_freq(0, target_freq)
f = self.u.rx_freq(0)
def set_gain(self, gain):
self.myform['gain'].set_value(gain) # update displayed value
- self.subdev.set_gain(gain)
+ self.subdev[0].set_gain(gain)
+ self.subdev[1].set_gain(gain)
self.gain = gain
def set_averaging(self, avval):
self.avg_alpha = avval
def set_integration(self, integval):
- self.integrator3.set_taps(1.0/integval)
+ if self.setimode == False:
+ self.integrator.set_taps(1.0/((integval)*(self.bw/2)))
self.myform['integration'].set_value(integval)
self.integ = integval
#
def lmst_timeout(self):
self.locality.date = ephem.now()
- x = self.probe.level()
+ if self.setimode == False:
+ x = self.probe.level()
sidtime = self.locality.sidereal_time()
# LMST
- s = str(ephem.hours(sidtime))
+ s = str(ephem.hours(sidtime)) + " " + self.sunstate
# Continuum detector value
- sx = "%7.4f" % x
- s = s + "\nDet: " + str(sx)
- sx = "%2d" % self.hitcounter
- sy = "%2d" % self.CHIRP_LOWER
- s = s + "\nH: " + str(sx) + " Cl: " + str(sy)
+ if self.setimode == False:
+ sx = "%7.4f" % x
+ s = s + "\nDet: " + str(sx)
+ else:
+ sx = "%2d" % self.hitcounter
+ s1 = "%2d" % self.s1hitcounter
+ s2 = "%2d" % self.s2hitcounter
+ sa = "%4.2f" % self.avgdelta
+ sy = "%3.1f-%3.1f" % (self.CHIRP_LOWER, self.CHIRP_UPPER)
+ s = s + "\nHits: " + str(sx) + "\nS1:" + str(s1) + " S2:" + str(s2)
+ s = s + "\nAv D: " + str(sa) + "\nCh lim: " + str(sy)
+
self.myform['lmst_high'].set_value(s)
#
# Write data out to recording files
#
- self.write_continuum_data(x,sidtime)
- self.write_spectral_data(self.fft_outbuf,sidtime)
+ if self.setimode == False:
+ self.write_continuum_data(x,sidtime)
+ self.write_spectral_data(self.fft_outbuf,sidtime)
- if self.setimode == True:
+ else:
self.seti_analysis(self.fft_outbuf,sidtime)
+ now = time.time()
+ if ((self.scanning == True) and ((now - self.seti_then) > self.setifreq_timer)):
+ self.seti_then = now
+ self.setifreq_current = self.setifreq_current + self.fft_input_rate
+ if (self.setifreq_current > self.setifreq_upper):
+ self.setifreq_current = self.setifreq_lower
+ self.set_freq(self.setifreq_current)
+ # Make sure we zero-out the hits array when changing
+ # frequency.
+ self.hits_array[:,:] = 0.0
+ self.hit_intensities[:,:] = 0.0
def fft_outfunc(self,data,l):
self.fft_outbuf=data
# If time to write full header info (saves storage this way)
#
if (now - self.continuum_then > 20):
+ self.sun.compute(self.locality)
+ enow = ephem.now()
+ sun_insky = "Down"
+ self.sunstate = "Dn"
+ if ((self.sun.rise_time < enow) and (enow < self.sun.set_time)):
+ sun_insky = "Up"
+ self.sunstate = "Up"
self.continuum_then = now
continuum_file.write(str(ephem.hours(sidtime))+" "+flt+" Dn="+str(inter)+",")
continuum_file.write("Ti="+str(integ)+",Fc="+str(fc)+",Bw="+str(bw))
- continuum_file.write(",Ga="+str(ga)+"\n")
+ continuum_file.write(",Ga="+str(ga)+",Sun="+str(sun_insky)+"\n")
else:
continuum_file.write(str(ephem.hours(sidtime))+" "+flt+"\n")
# Write those fields
spectral_file.write("data:"+str(ephem.hours(sidtime))+" Dn="+str(inter)+",Fc="+str(fc)+",Bw="+str(bw)+",Av="+str(av))
- spectral_file.write(" "+str(r)+"\n")
+ spectral_file.write (" [ ")
+ for r in data:
+ spectral_file.write(" "+str(r))
+
+ spectral_file.write(" ]\n")
spectral_file.close()
return(data)
l = len(fftbuf)
x = 0
hits = []
+ hit_intensities = []
if self.seticounter < self.setitimer:
self.seticounter = self.seticounter + 1
return
# Snarfle through the FFT output buffer again, looking for
# outlying data points
- start_f = self.observing - (self.bw/2)
+ start_f = self.observing - (self.fft_input_rate/2)
current_f = start_f
- f_incr = self.bw / l
l = len(fftbuf)
+ f_incr = self.fft_input_rate / l
hit = -1
# -nyquist to DC
#
if ((fftbuf[i] - avg) > (self.setik * sigma)):
hits.append(current_f)
+ hit_intensities.append(fftbuf[i])
current_f = current_f + f_incr
# DC to nyquist
#
if ((fftbuf[i] - avg) > (self.setik * sigma)):
hits.append(current_f)
+ hit_intensities.append(fftbuf[i])
current_f = current_f + f_incr
+ # No hits
if (len(hits) <= 0):
return
- if (len(hits) > len(self.old_hits)*2):
- return
#
+ # OK, so we have some hits in the FFT buffer
+ # They'll have a rather substantial gauntlet to run before
+ # being declared a real "hit"
#
- # Calculate chirp limits from first principles
- #
- #
- earth_diam = 12500
- earth_circ = earth_diam * 3.14159
- surface_speed = earth_circ / 24
- surface_speed = surface_speed / 3600
- c1 = (surface_speed/2) / 299792.0
- c2 = (surface_speed*5) / 299792.0
+ # Update stats
+ self.s1hitcounter = self.s1hitcounter + len(hits)
+
+ # Weed out buffers with an excessive number of
+ # signals above Sigma
+ if (len(hits) > self.nhits):
+ return
- self.CHIRP_LOWER = (c1 * self.observing) * self.setitimer
- self.CHIRP_UPPER = (c2 * self.observing) * self.setitimer
+ # Weed out FFT buffers with apparent multiple narrowband signals
+ # separated significantly in frequency. This means that a
+ # single signal spanning multiple bins is OK, but a buffer that
+ # has multiple, apparently-separate, signals isn't OK.
#
- # Run through all three hit buffers, computing difference between
+ last = hits[0]
+ ns2 = 1
+ for i in range(1,len(hits)):
+ if ((hits[i] - last) > (f_incr*3.0)):
+ return
+ last = hits[i]
+ ns2 = ns2 + 1
+
+ self.s2hitcounter = self.s2hitcounter + ns2
+
+ #
+ # Run through all available hit buffers, computing difference between
# frequencies found there, if they're all within the chirp limits
# declare a good hit
#
- good_hit = 0
- for i in range(0,min(len(hits),len(self.old_hits))):
- f_diff = abs(self.old_hits[i] - hits[i])
- f_diff2 = abs(self.older_hits[i] - self.old_hits[i])
- # If frequency difference is within range, we have a hit
- if (f_diff >= self.CHIRP_LOWER and f_diff <= self.CHIRP_UPPER):
- if (f_diff2 >= self.CHIRP_LOWER and f_diff <= self.CHIRP_UPPER):
- good_hit = 1
- self.hitcounter = self.hitcounter + 1
- break
-
- if (good_hit != 0):
- self.write_hits(hits,sidtime)
-
- # Save old hits
- for i in range(0,len(self.older_hits)):
- self.older_hits[i] = self.old_hits[i]
- self.old_hits[i] = 0
- for i in range(0,min(len(hits),len(self.old_hits))):
- self.old_hits[i] = hits[i]
+ good_hit = False
+ f_ds = Numeric.zeros(self.nhitlines, Numeric.Float64)
+ avg_delta = 0
+ k = 0
+ for i in range(0,min(len(hits),len(self.hits_array[:,0]))):
+ f_ds[0] = abs(self.hits_array[i,0] - hits[i])
+ for j in range(1,len(f_ds)):
+ f_ds[j] = abs(self.hits_array[i,j] - self.hits_array[i,0])
+ avg_delta = avg_delta + f_ds[j]
+ k = k + 1
+
+ if (self.seti_isahit (f_ds)):
+ good_hit = True
+ self.hitcounter = self.hitcounter + 1
+ break
+
+ if (avg_delta/k < (self.seti_fft_bandwidth/2)):
+ self.avgdelta = avg_delta / k
+
+ # Save 'n shuffle hits
+ # Old hit buffers percolate through the hit buffers
+ # (there are self.nhitlines of these buffers)
+ # and then drop off the end
+ # A consequence is that while the nhitlines buffers are filling,
+ # you can get some absurd values for self.avgdelta, because some
+ # of the buffers are full of zeros
+ for i in range(self.nhitlines,1):
+ self.hits_array[:,i] = self.hits_array[:,i-1]
+ self.hit_intensities[:,i] = self.hit_intensities[:,i-1]
+
+ for i in range(0,len(hits)):
+ self.hits_array[i,0] = hits[i]
+ self.hit_intensities[i,0] = hit_intensities[i]
+
+ # Finally, write the hits/intensities buffer
+ if (good_hit):
+ self.write_hits(sidtime)
return
- def write_hits(self,hits,sidtime):
+ def seti_isahit(self,fdiffs):
+ truecount = 0
+
+ for i in range(0,len(fdiffs)):
+ if (fdiffs[i] >= self.CHIRP_LOWER and fdiffs[i] <= self.CHIRP_UPPER):
+ truecount = truecount + 1
+
+ if truecount == len(fdiffs):
+ return (True)
+ else:
+ return (False)
+
+ def write_hits(self,sidtime):
# Create localtime structure for producing filename
foo = time.localtime()
pfx = self.prefix
# Open the data file, appending
hits_file = open (filenamestr+".seti","a")
- hits_file.write(str(ephem.hours(sidtime))+" "+str(hits)+"\n")
+
+ # Write sidtime first
+ hits_file.write(str(ephem.hours(sidtime))+" "+str(self.decln)+" ")
+
+ #
+ # Then write the hits/hit intensities buffers with enough
+ # "syntax" to allow parsing by external (not yet written!)
+ # "stuff".
+ #
+ for i in range(0,self.nhitlines):
+ hits_file.write(" ")
+ for j in range(0,self.nhits):
+ hits_file.write(str(self.hits_array[j,i])+":")
+ hits_file.write(str(self.hit_intensities[j,i])+",")
+ hits_file.write("\n")
hits_file.close()
return
def xydfunc(self,xyv):
+ if self.setimode == True:
+ return
magn = int(Numeric.log10(self.observing))
if (magn == 6 or magn == 7 or magn == 8):
magn = 6
s2 = "\n%.3fkm/s" % vs
self.myform['spec_data'].set_value(s+s2)
+ def xydfunc_waterfall(self,pos):
+ lower = self.observing - (self.seti_fft_bandwidth / 2)
+ upper = self.observing + (self.seti_fft_bandwidth / 2)
+ binwidth = self.seti_fft_bandwidth / 1024
+ s = "%.6fMHz" % ((lower + (pos.x*binwidth)) / 1.0e6)
+ self.myform['spec_data'].set_value(s)
+
def toggle_cal(self):
if (self.calstate == True):
self.calstate = False
else:
self.annotate_state = True
self.annotation.SetLabel("Annotation: On")
-
+ #
+ # Turn scanning on/off
+ # Called-back by "Recording" button
+ #
+ def toggle_scanning(self):
+ # Current scanning? Flip state
+ if (self.scanning == True):
+ self.scanning = False
+ self.scan_control.SetLabel("Scan: Off")
+ # Not scanning
+ else:
+ self.scanning = True
+ self.scan_control.SetLabel("Scan: On ")
+
+ def set_pd_offset(self,offs):
+ self.myform['offset'].set_value(offs)
+ self.calib_offset=offs
+ x = self.calib_coeff / 100.0
+ self.cal_offs.set_k(offs*(x*8000))
+
+ def set_pd_gain(self,gain):
+ self.myform['dcgain'].set_value(gain)
+ self.cal_mult.set_k(gain*0.01)
+ self.calib_coeff = gain
+ x = gain/100.0
+ self.cal_offs.set_k(self.calib_offset*(x*8000))
+
+ def compute_notch_taps(self,notchlist):
+ NOTCH_TAPS = 256
+ tmptaps = Numeric.zeros(NOTCH_TAPS,Numeric.Complex64)
+ binwidth = self.bw / NOTCH_TAPS
+
+ for i in range(0,NOTCH_TAPS):
+ tmptaps[i] = complex(1.0,0.0)
+
+ for i in notchlist:
+ diff = i - self.observing
+ if i == 0:
+ break
+ if (diff > 0):
+ idx = diff / binwidth
+ idx = int(idx)
+ if (idx < 0 or idx > (NOTCH_TAPS/2)):
+ break
+ tmptaps[idx] = complex(0.0, 0.0)
+
+ if (diff < 0):
+ idx = -diff / binwidth
+ idx = (NOTCH_TAPS/2) - idx
+ idx = int(idx+(NOTCH_TAPS/2))
+ if (idx < 0 or idx > (NOTCH_TAPS)):
+ break
+ tmptaps[idx] = complex(0.0, 0.0)
+
+ self.notch_taps = numpy.fft.ifft(tmptaps)
def main ():
- app = stdgui.stdapp(app_flow_graph, "RADIO ASTRONOMY SPECTRAL/CONTINUUM RECEIVER: $Revision$", nstatus=1)
+ app = stdgui2.stdapp(app_flow_graph, "RADIO ASTRONOMY SPECTRAL/CONTINUUM RECEIVER: $Revision$", nstatus=1)
app.MainLoop()
if __name__ == '__main__':