X-Git-Url: https://git.gag.com/?a=blobdiff_plain;f=parse;h=47f3ced25d5ab2d26377fdd57d7314900cee181a;hb=fa1c4b2623d07418992de1b177f067a00322701b;hp=97344d32a39b0c6240e8917c7276468c23926d32;hpb=8d1ed1bed19b13fb8b178433db11637c7ae0517a;p=fw%2Ftmflights diff --git a/parse b/parse index 97344d3..47f3ced 100755 --- a/parse +++ b/parse @@ -199,8 +199,9 @@ read_record(file in) { return r; } -#real g_count = 264.8; -real g_count = 262; +real g_count = 264.8; +#real g_count = 262; +#real g_count = 400; int g_base = 15735; real @@ -224,7 +225,7 @@ real sinc(real x) = x != 0 ? sin(x)/x : 1; real gaussian(real x) = exp(-(x**2)/2) / sqrt(2 * pi); -load "/usr/share/nickle/examples/kaiser.5c" +load "filter.5c" real[...] convolve(real[...] d, real[...] e) { real sample(n) = n < 0 ? d[0] : n >= dim(d) ? d[dim(d)-1] : d[n]; @@ -297,9 +298,13 @@ autoimport String; telem_record read_telem(file in) { string[*] r = wordsplit(chomp(fgets(in)), " "); + static int line = 0; - if (dim(r) < 15) + line++; + if (dim(r) < 15) { + printf ("invalid record line %d\n", line); return read_telem(in); + } return (telem_record) { .time = string_to_integer(r[10]), .accel = string_to_integer(r[12]), @@ -309,9 +314,14 @@ telem_record read_telem(file in) { } void readsamples_telem(file in) { + telem_record[...] telem; + + setdim(telem, 0); + setdim(clock, 0); setdim(pressure_value, 0); setdim(accelerometer_value, 0); + real clock_bias = 0; telem_record[...] save = {}; @@ -328,20 +338,32 @@ void readsamples_telem(file in) { accel_total += save[i].accel; g_base = accel_total // start; - for (int i = start; i < dim(save); i++) { - clock[dim(clock)] = save[i].time/100; - pressure_value[dim(pressure_value)] = save[i].pressure; - accelerometer_value[dim(accelerometer_value)] = save[i].accel; - } - + for (int i = start; i < dim(save); i++) + telem[dim(telem)] = save[i]; + while (!File::end(in)) { - telem_record t = read_telem(in); - if (dim(clock) > 0 && - abs(t.time / 100 - clock[dim(clock)-1]) > 500) - break; - clock[dim(clock)] = t.time / 100; - pressure_value[dim(pressure_value)] = t.pressure; - accelerometer_value[dim(accelerometer_value)] = t.accel; + int n = dim(telem); + telem[n] = read_telem(in); + telem[n].time += clock_bias; + if (n > 0 && telem[n].time < telem[n-1].time) { + clock_bias += 65536; + telem[n].time += 65536; + } + } + int clock_start = telem[0].time; + int clock_end = telem[dim(telem)-1].time; + int samples = clock_end - clock_start; + + int j = 0; + for (int i = 0; i < samples; i++) { + clock[i] = i / 100; + pressure_value[i] = telem[j].pressure; + accelerometer_value[i] = telem[j].accel; + if (j < dim(telem)-1) { + int cur_time = clock_start + i; + if (cur_time - telem[j].time > telem[j+1].time - cur_time) + j++; + } } } @@ -372,6 +394,12 @@ int[...] rebase(int[...] d, int m, int a) = (int[dim(d)]) { [n] = d[n] * m + a } int size = dim(accelerometer_value); +real[...] do_low_pass(real[] data, real ωpass, real ωstop, real error) { + real[*] fir = low_pass_filter (ωpass, ωstop, error); + File::fprintf (stderr, "low pass filter is %d long\n", dim(fir)); + return convolve(data, fir); +} + if (false) { accelerometer_value = rebase(accelerometer_value, -1, g_base); int accel_i0_base = average(accelerometer_value, 30); @@ -397,8 +425,14 @@ if (false) { } else { real[size] accelerometer = { [n] = gravity * (count_to_g(accelerometer_value[n]) - 1.0) }; real[size] barometer = { [n] = pressure_to_altitude(count_to_kPa(pressure_value[n] / 16) * 1000) }; - real[size] filtered_accelerometer = kaiser_filter(accelerometer, 8); - real[size] filtered_barometer = kaiser_filter(barometer, 32); + real[size] filtered_accelerometer = do_low_pass(accelerometer, + 2 * π * 5/100, + 2 * π * 8/100, + 1e-8); + real[size] filtered_barometer = do_low_pass(barometer, + 2 * π * .5 / 100, + 2 * π * 1 / 100, + 1e-8); real[...] integrate(real[...] d) { real[dim(d)] ret; @@ -415,7 +449,7 @@ if (false) { return ret; } - real[size] accel_speed = integrate(filtered_accelerometer); + real[size] accel_speed = integrate(accelerometer); real[size] accel_pos = integrate(accel_speed); real[size] baro_speed = differentiate(filtered_barometer); real[size] baro_accel = differentiate(baro_speed);