#
# You should have received a copy of the GNU General Public License
# along with GNU Radio; see the file COPYING. If not, write to
-# the Free Software Foundation, Inc., 59 Temple Place - Suite 330,
-# Boston, MA 02111-1307, USA.
+# the Free Software Foundation, Inc., 51 Franklin Street,
+# Boston, MA 02110-1301, USA.
#
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, waterfallsink, form, slider
+from gnuradio.wxgui import stdgui, ra_fftsink, ra_stripchartsink, ra_waterfallsink, form, slider
from optparse import OptionParser
import wx
import sys
-from Numeric import *
+import Numeric
+import time
import FFT
import ephem
-from gnuradio.local_calibrator import *
+
+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):
def __init__(self, frame, panel, vbox, argv):
parser.add_option("-o", "--observing", type="eng_float", default=0.0,
help="Set observing frequency")
parser.add_option("-x", "--ylabel", default="dB", help="Y axis label")
- parser.add_option("-C", "--cfunc", default="default", help="Calibration function name")
parser.add_option("-z", "--divbase", type="eng_float", default=0.025, help="Y Division increment base")
parser.add_option("-v", "--stripsize", type="eng_float", default=2400, help="Size of stripchart, in 2Hz samples")
parser.add_option("-F", "--fft_size", type="eng_float", default=1024, help="Size of FFT")
parser.add_option("-N", "--decln", type="eng_float", default=999.99, help="Observing declination")
- parser.add_option("-I", "--interfilt", action="store_true", default=False)
parser.add_option("-X", "--prefix", default="./")
+ 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("-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("-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")
(options, args) = parser.parse_args()
if len(args) != 0:
parser.print_help()
sys.exit(1)
self.show_debug_info = True
-
+
+ # Pick up waterfall option
+ self.waterfall = options.waterfall
+
+ # SETI mode stuff
+ self.setimode = options.setimode
+ self.seticounter = 0
+ self.setik = options.setik
+ # Because we force the input rate to be 250Khz, 12.5Khz is
+ # exactly 1/20th of this, which makes building decimators
+ # easier.
+ # This also allows larger FFTs to be used without totally-gobbling
+ # CPU. With an FFT size of 16384, for example, this bandwidth
+ # yields a binwidth of 0.762Hz, and plenty of CPU left over
+ # for other things, like the SETI analysis code.
+ #
+ 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
+ # 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 counter to 0
+ self.hitcounter = 0
+ # We scan through 1Mhz of bandwidth around the chosen center freq
+ self.seti_freq_range = 1.0e6
+ # 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)
+
+ # We change center frequencies every 10 self.setitimer intervals
+ self.setifreq_timer = self.setitimer * 10
+
+ # Create actual timer
+ self.seti_then = time.time()
+
+ # The hits recording array
+ self.nhits = 10
+ self.nhitlines = 3
+ 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
+
+ self.integ = options.integ
+ self.avg_alpha = options.avg
+ self.gain = options.gain
+ self.decln = options.decln
+
+ # Set initial values for datalogging timed-output
+ self.continuum_then = time.time()
+ self.spectral_then = time.time()
+
# build the graph
+ #
+ # If SETI mode, we always run at maximum USRP decimation
+ #
+ if (self.setimode):
+ options.decim = 256
+
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)
# Set initial declination
self.decln = options.decln
- # Turn off interference filter by default
- self.use_interfilt = options.interfilt
-
# 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()
- tpstr="calib_"+options.cfunc+"_total_power"
- sstr="calib_"+options.cfunc+"_fft"
- self.tpcfunc=eval(tpstr)
- self.scfunc=eval(sstr)
-
#
# Set prefix for data files
#
self.prefix = options.prefix
- calib_set_prefix(self.prefix)
+
+ #
+ # The lower this number, the fewer sample frames are dropped
+ # in computing the FFT. A sampled approach is taken to
+ # computing the FFT of the incoming data, which reduces
+ # sensitivity. Increasing sensitivity inreases CPU loading.
+ #
+ self.fft_rate = options.fft_rate
+
+ 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, 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 (currently 12.5Khz)
+ # 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
- self.scope = ra_fftsink.ra_fft_sink_c (self, panel,
- fft_size=int(options.fft_size), sample_rate=input_rate,
- fft_rate=8, title="Spectral",
- cfunc=self.scfunc, xydfunc=self.xydfunc, interfunc=self.interference)
+ if self.waterfall == False:
+ self.scope = ra_fftsink.ra_fft_sink_c (self, 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=self.fft_input_rate,
+ fft_rate=int(self.fft_rate), title="Spectral", ofunc=self.fft_outfunc, xydfunc=self.xydfunc_waterfall)
# 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
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, cfunc=self.tpcfunc)
+ if self.setimode == False:
+ 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)
# Set center frequency
self.centerfreq = options.freq
self.bw = input_rate
- #
- # Produce a default interference map
- # May not actually get used, unless --interfilt was specified
- #
- self.intmap = Numeric.zeros(256,Numeric.Complex64)
- for i in range(0,len(self.intmap)):
- self.intmap[i] = complex(1.0, 0.0)
-
# We setup the first two integrators to produce a fixed integration
# Down to 1Hz, with output at 1 samples/sec
N = input_rate/5000
# Call constructors for receive chains
#
- #
- # This is the interference-zapping filter
- #
- # The GUI is used to set/clear inteference zones in
- # the filter. The non-interfering zones are set to
- # 1.0.
- #
- if 0:
- self.interfilt = gr.fft_filter_ccc(1,self.intmap)
- tmp = FFT.inverse_fft(self.intmap)
- self.interfilt.set_taps(tmp)
-
- # 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)
-
- # Split complex USRP stream into a pair of floats
- self.splitter = gr.complex_to_float (1);
- self.toshort = gr.float_to_short();
-
- # 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();
+ if self.setimode == False:
+ # 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)
+
+ # 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();
+
+ #
+ # Continuum calibration stuff
+ #
+ self.cal_mult = gr.multiply_const_ff(self.calib_coeff);
+ self.cal_offs = gr.add_const_ff(self.calib_offset);
#
# Start connecting configured modules in the receive chain
#
- # Connect interference-filtered USRP input to selected scope function
- if self.use_interfilt == True:
- self.connect(self.u, self.interfilt, self.scope)
-
- # Connect interference-filtered USRP to a complex->float splitter
- self.connect(self.interfilt, self.splitter)
-
- else:
+ # The scope--handle SETI mode
+ if (self.setimode == False):
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 three-stages of FIR integrator
- self.connect(self.adder, self.integrator1,
- self.integrator2, self.integrator3, self.chart)
+ else:
+ self.connect(self.u, self.fft_bandpass, self.scope)
+ if self.setimode == False:
+ #
+ # The head of the continuum chain
+ #
+ 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)
self._build_gui(vbox)
# Make GUI agree with command-line
- self.myform['integration'].set_value(int(options.integ))
+ self.integ = options.integ
+ if self.setimode == False:
+ self.myform['integration'].set_value(int(options.integ))
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
# Make spectral averager agree with command line
if options.avg != 1.0:
self.scope.set_avg_alpha(float(1.0/options.avg))
- calib_set_avg_alpha(float(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 not(self.set_freq(options.freq)):
self._set_status_msg("Failed to set initial frequency")
+ # Set declination
self.set_decln (self.decln)
- calib_set_decln (self.decln)
+
+ # 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())
- # Make sure calibrator knows what our bandwidth is
- calib_set_bw(self.u.adc_freq() / self.u.decim_rate())
-
# Set analog baseband filtering, if DBS_RX
if self.cardtype == usrp_dbid.DBS_RX:
lbw = (self.u.adc_freq() / self.u.decim_rate()) / 2
lbw = 1.0e6
self.subdev.set_bw(lbw)
- # Tell calibrator our declination as well
- calib_set_decln(self.decln)
-
- # Start the timer for the LMST display
+ # 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()
vbox2.Add((4,0), 0, 0)
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=3000, 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)
- if self.use_interfilt == True:
- self.doit = form.button_with_callback(self.panel,
- label="Clear Interference List",
- callback=self.clear_interferers)
- if self.use_interfilt == True:
- buttonbox.Add(self.doit, 0, wx.CENTER)
vbox.Add(buttonbox, 0, wx.CENTER)
hbox.Add(vbox1, 0, 0)
hbox.Add(vbox2, wx.ALIGN_RIGHT, 0)
self._build_subpanel(vbox)
self.lmst_timer = wx.PyTimer(self.lmst_timeout)
- self.lmst_timeout()
+ #self.lmst_timeout()
def _build_subpanel(self, vbox_arg):
self.centerfreq = target_freq
self.observing -= delta
self.scope.set_baseband_freq (self.observing)
- calib_set_freq(self.observing)
-
- # Clear interference list
- self.clear_interferers()
self.myform['baseband'].set_value(r.baseband_freq)
self.myform['ddc'].set_value(r.dxc_freq)
def set_decln(self, dec):
self.decln = dec
self.myform['decln'].set_value(dec) # update displayed value
- calib_set_decln(dec)
def set_gain(self, gain):
self.myform['gain'].set_value(gain) # update displayed value
self.subdev.set_gain(gain)
-
- #
- # Make sure calibrator knows our gain setting
- #
- calib_set_gain(gain)
+ self.gain = gain
def set_averaging(self, avval):
self.myform['average'].set_value(avval)
self.scope.set_avg_alpha(1.0/(avval))
- calib_set_avg_alpha(avval)
self.scope.set_average(True)
+ self.avg_alpha = avval
def set_integration(self, integval):
- self.integrator3.set_taps(1.0/integval)
+ if self.setimode == False:
+ self.integrator3.set_taps(1.0/integval)
self.myform['integration'].set_value(integval)
+ self.integ = integval
+
+ #
+ # Timeout function
+ # Used to update LMST display, as well as current
+ # continuum value
+ #
+ # We also write external data-logging files here
+ #
+ def lmst_timeout(self):
+ self.locality.date = ephem.now()
+ if self.setimode == False:
+ x = self.probe.level()
+ sidtime = self.locality.sidereal_time()
+ # LMST
+ s = str(ephem.hours(sidtime)) + " " + self.sunstate
+ # Continuum detector value
+ if self.setimode == False:
+ sx = "%7.4f" % x
+ s = s + "\nDet: " + str(sx)
+ else:
+ sx = "%2d" % self.hitcounter
+ sy = "%3.1f-%3.1f" % (self.CHIRP_LOWER, self.CHIRP_UPPER)
+ s = s + "\nHits: " + str(sx) + "\nCh lim: " + str(sy)
+ self.myform['lmst_high'].set_value(s)
+
+ #
+ # Write data out to recording files
+ #
+ if self.setimode == False:
+ self.write_continuum_data(x,sidtime)
+ self.write_spectral_data(self.fft_outbuf,sidtime)
+
+ 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
+
+ def write_continuum_data(self,data,sidtime):
+
+ # Create localtime structure for producing filename
+ foo = time.localtime()
+ pfx = self.prefix
+ filenamestr = "%s/%04d%02d%02d%02d" % (pfx, foo.tm_year,
+ foo.tm_mon, foo.tm_mday, foo.tm_hour)
+
+ # Open the data file, appending
+ continuum_file = open (filenamestr+".tpdat","a")
+
+ flt = "%6.3f" % data
+ inter = self.decln
+ integ = self.integ
+ fc = self.observing
+ fc = fc / 1000000
+ bw = self.bw
+ bw = bw / 1000000
+ ga = self.gain
+
+ now = time.time()
+
+ #
+ # 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)+",Sun="+str(sun_insky)+"\n")
+ else:
+ continuum_file.write(str(ephem.hours(sidtime))+" "+flt+"\n")
+
+ continuum_file.close()
+ return(data)
+
+ def write_spectral_data(self,data,sidtime):
+
+ now = time.time()
+ delta = 10
+
+ # If time to write out spectral data
+ # We don't write this out every time, in order to
+ # save disk space. Since the spectral data are
+ # typically heavily averaged, writing this data
+ # "once in a while" is OK.
+ #
+ if (now - self.spectral_then >= delta):
+ self.spectral_then = now
+
+ # Get localtime structure to make filename from
+ foo = time.localtime()
+
+ pfx = self.prefix
+ filenamestr = "%s/%04d%02d%02d%02d" % (pfx, foo.tm_year,
+ foo.tm_mon, foo.tm_mday, foo.tm_hour)
+
+ # Open the file
+ spectral_file = open (filenamestr+".sdat","a")
+
+ # Setup data fields to be written
+ r = data
+ inter = self.decln
+ fc = self.observing
+ fc = fc / 1000000
+ bw = self.bw
+ bw = bw / 1000000
+ av = self.avg_alpha
+
+ # 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.close()
+ return(data)
+
+ return(data)
+
+ def seti_analysis(self,fftbuf,sidtime):
+ l = len(fftbuf)
+ x = 0
+ hits = []
+ hit_intensities = []
+ if self.seticounter < self.setitimer:
+ self.seticounter = self.seticounter + 1
+ return
+ else:
+ self.seticounter = 0
+
+ # Run through FFT output buffer, computing standard deviation (Sigma)
+ avg = 0
+ # First compute average
+ for i in range(0,l):
+ avg = avg + fftbuf[i]
+ avg = avg / l
+
+ sigma = 0.0
+ # Then compute standard deviation (Sigma)
+ for i in range(0,l):
+ d = fftbuf[i] - avg
+ sigma = sigma + (d*d)
+
+ sigma = Numeric.sqrt(sigma/l)
+
+ #
+ # Snarfle through the FFT output buffer again, looking for
+ # outlying data points
+
+ start_f = self.observing - (self.fft_input_rate/2)
+ current_f = start_f
+ f_incr = self.fft_input_rate / l
+ l = len(fftbuf)
+ hit = -1
+
+ # -nyquist to DC
+ for i in range(l/2,l):
+ #
+ # If current FFT buffer has an item that exceeds the specified
+ # sigma
+ #
+ 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
+ for i in range(0,l/2):
+ #
+ # If current FFT buffer has an item that exceeds the specified
+ # sigma
+ #
+ 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
#
- # Make sure calibrator knows our integration time
+ # 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"
#
- calib_set_integ(integval)
- def lmst_timeout(self):
- self.locality.date = ephem.now()
- sidtime = self.locality.sidereal_time()
- self.myform['lmst_high'].set_value(str(ephem.hours(sidtime)))
+ # Weed out buffers with an excessive number of strong signals
+ if (len(hits) > self.nhits):
+ return
+
+ # 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.
+ #
+ last = hits[0]
+ for i in range(1,len(hits)):
+ if ((hits[i] - last) > (f_incr*2.0)):
+ return
+ last = hits[i]
+
+ #
+ # Run through all three hit buffers, computing difference between
+ # frequencies found there, if they're all within the chirp limits
+ # declare a good hit
+ #
+ good_hit = 0
+ good_hit = False
+ for i in range(0,min(len(hits),len(self.hits_array[:,0]))):
+ f_d1 = abs(self.hits_array[i,0] - hits[i])
+ f_d2 = abs(self.hits_array[i,1] - self.hits_array[i,0])
+ f_d3 = abs(self.hits_array[i,2] - self.hits_array[i,1])
+ if (self.seti_isahit ([f_d1, f_d2, f_d3])):
+ good_hit = True
+ self.hitcounter = self.hitcounter + 1
+ break
+
+
+ # Save 'n shuffle hits
+ 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 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
+ filenamestr = "%s/%04d%02d%02d%02d" % (pfx, foo.tm_year,
+ foo.tm_mon, foo.tm_mday, foo.tm_hour)
+
+ # Open the data file, appending
+ hits_file = open (filenamestr+".seti","a")
+
+ # 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):
- magn = int(log10(self.observing))
+ magn = int(Numeric.log10(self.observing))
if (magn == 6 or magn == 7 or magn == 8):
magn = 6
dfreq = xyv[0] * pow(10.0,magn)
s2 = "\n%.3fkm/s" % vs
self.myform['spec_data'].set_value(s+s2)
- def interference(self,x):
- if self.use_interfilt == False:
- return
- magn = int(log10(self.observing))
- dfreq = x * pow(10.0,magn)
- delta = dfreq - self.observing
- fincr = self.bw / len(self.intmap)
- l = len(self.intmap)
- if delta > 0:
- offset = delta/fincr
- else:
- offset = (l) - int((abs(delta)/fincr))
-
- offset = int(offset)
-
- if offset >= len(self.intmap) or offset < 0:
- print "interference offset is invalid--", offset
- return
-
- #
- # Zero out the region around the selected interferer
- #
- self.intmap[offset-2] = complex (0.5, 0.0)
- self.intmap[offset-1] = complex (0.25, 0.0)
- self.intmap[offset] = complex (0.0, 0.0)
- self.intmap[offset+1] = complex(0.25, 0.0)
- self.intmap[offset+2] = complex(0.5, 0.0)
-
- #
- # Set new taps
- #
- tmp = FFT.inverse_fft(self.intmap)
- self.interfilt.set_taps(tmp)
-
- def clear_interf(self):
- self.clear_interferers()
-
- def clear_interferers(self):
- for i in range(0,len(self.intmap)):
- self.intmap[i] = complex(1.0,0.0)
- tmp = FFT.inverse_fft(self.intmap)
- if self.use_interfilt == True:
- self.interfilt.set_taps(tmp)
-
-
+ 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):
else:
self.annotate_state = True
self.annotation.SetLabel("Annotation: On")
- calib_set_interesting(self.annotate_state)
-
+ #
+ # 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 main ():
app = stdgui.stdapp(app_flow_graph, "RADIO ASTRONOMY SPECTRAL/CONTINUUM RECEIVER: $Revision$", nstatus=1)
projects / debian / gnuradio / blobdiff