gaussnoisetest_short.txt

《无线通信系统仿真——c++使用模型》这本书的源代码

040303_202803
Gaussian Noise Testbed
======================

   Max_Pass_Number = 2000
lev_gen
   Const_Level = 0
flat_line_anchr
   samp_intvl = 1
   block_size = 4096
awgn_source
   Anticip_Input_Pwr = 1
   Desired_Output_Pwr = 1
   Desired_Eb_No = 0
   Symb_Period = 1
   Num_Bits_Per_Symb = 1
   Time_Const_For_Pwr_Mtr = 30
   Seed = 113559
   Sig_Pwr_Meas_Enabled = 0
   Outpt_Pwr_Scaling_On = 0
histogram
   Num_Segs_To_Tally = 1000
   Hold_Off = 0
Warning: parameter 'Hist_File_Name' not found in block 'histogram'
   Hist_File_Name = awgn_hist.txt
   Num_Bins = 31
   Bin_Width = 0.176777
   Positive_Only = 0
   Halt_When_Completed = 0
ogive
   Num_Segs_To_Tally = 1000
   Hold_Off = 0
Warning: parameter 'Hist_File_Name' not found in block 'ogive'
   Hist_File_Name = awgn_ogive.txt
   Num_Bins = 24
   Bin_Width = 0.176777
   Positive_Only = 0
   Halt_When_Completed = 1
SignalPlotter
Requested plot signal 'symb_seq' not found.
Requested plot signal 'binary_wave' not found.
Requested plot signal 'filt_binary_wave' not found.
10 Batch power = 0  Cumul = 0
20 Batch power = 0  Cumul = 0
30 Batch power = 0  Cumul = 0
40 Batch power = 0  Cumul = 0
50 Batch power = 0  Cumul = 0
   Metered power = 0
60 Batch power = 0  Cumul = 0
70 Batch power = 0  Cumul = 0
80 Batch power = 0  Cumul = 0
90 Batch power = 0  Cumul = 0
100 Batch power = 0  Cumul = 0
   Metered power = 0
Pass 100 avg = 0.00290821, 0  var = 1.00094
noise_sigma = 0.707107
110 Batch power = 0  Cumul = 0
120 Batch power = 0  Cumul = 0
130 Batch power = 0  Cumul = 0
140 Batch power = 0  Cumul = 0
150 Batch power = 0  Cumul = 0
   Metered power = 0
160 Batch power = 0  Cumul = 0
170 Batch power = 0  Cumul = 0
180 Batch power = 0  Cumul = 0
190 Batch power = 0  Cumul = 0
200 Batch power = 0  Cumul = 0
   Metered power = 0
Pass 200 avg = 0.00106669, 0  var = 1.0006
noise_sigma = 0.707107
210 Batch power = 0  Cumul = 0
220 Batch power = 0  Cumul = 0
230 Batch power = 0  Cumul = 0
240 Batch power = 0  Cumul = 0
250 Batch power = 0  Cumul = 0
   Metered power = 0
260 Batch power = 0  Cumul = 0
270 Batch power = 0  Cumul = 0
280 Batch power = 0  Cumul = 0
290 Batch power = 0  Cumul = 0
300 Batch power = 0  Cumul = 0
   Metered power = 0
Pass 300 avg = 0.000703565, 0  var = 0.999482
noise_sigma = 0.707107
310 Batch power = 0  Cumul = 0
320 Batch power = 0  Cumul = 0
330 Batch power = 0  Cumul = 0
340 Batch power = 0  Cumul = 0
350 Batch power = 0  Cumul = 0
   Metered power = 0
360 Batch power = 0  Cumul = 0
370 Batch power = 0  Cumul = 0
380 Batch power = 0  Cumul = 0
390 Batch power = 0  Cumul = 0
400 Batch power = 0  Cumul = 0
   Metered power = 0
Pass 400 avg = 0.000977691, 0  var = 0.99896
noise_sigma = 0.707107
410 Batch power = 0  Cumul = 0
420 Batch power = 0  Cumul = 0
430 Batch power = 0  Cumul = 0
440 Batch power = 0  Cumul = 0
450 Batch power = 0  Cumul = 0
   Metered power = 0
460 Batch power = 0  Cumul = 0
470 Batch power = 0  Cumul = 0
480 Batch power = 0  Cumul = 0
490 Batch power = 0  Cumul = 0
500 Batch power = 0  Cumul = 0
   Metered power = 0
Pass 500 avg = 0.000361755, 0  var = 0.999242
noise_sigma = 0.707107
510 Batch power = 0  Cumul = 0
520 Batch power = 0  Cumul = 0
530 Batch power = 0  Cumul = 0
540 Batch power = 0  Cumul = 0
550 Batch power = 0  Cumul = 0
   Metered power = 0
560 Batch power = 0  Cumul = 0
570 Batch power = 0  Cumul = 0
580 Batch power = 0  Cumul = 0
590 Batch power = 0  Cumul = 0
600 Batch power = 0  Cumul = 0
   Metered power = 0
Pass 600 avg = 8.53943e-005, 0  var = 0.999625
noise_sigma = 0.707107
610 Batch power = 0  Cumul = 0
620 Batch power = 0  Cumul = 0
630 Batch power = 0  Cumul = 0
640 Batch power = 0  Cumul = 0
650 Batch power = 0  Cumul = 0
   Metered power = 0
660 Batch power = 0  Cumul = 0
670 Batch power = 0  Cumul = 0
680 Batch power = 0  Cumul = 0
690 Batch power = 0  Cumul = 0
700 Batch power = 0  Cumul = 0
   Metered power = 0
Pass 700 avg = 0.00028335, 0  var = 0.999951
noise_sigma = 0.707107
710 Batch power = 0  Cumul = 0
720 Batch power = 0  Cumul = 0
730 Batch power = 0  Cumul = 0
740 Batch power = 0  Cumul = 0
750 Batch power = 0  Cumul = 0
   Metered power = 0
760 Batch power = 0  Cumul = 0
770 Batch power = 0  Cumul = 0
780 Batch power = 0  Cumul = 0
790 Batch power = 0  Cumul = 0
800 Batch power = 0  Cumul = 0
   Metered power = 0
Pass 800 avg = 0.000139436, 0  var = 1.00069
noise_sigma = 0.707107
810 Batch power = 0  Cumul = 0
820 Batch power = 0  Cumul = 0
830 Batch power = 0  Cumul = 0
840 Batch power = 0  Cumul = 0
850 Batch power = 0  Cumul = 0
   Metered power = 0
860 Batch power = 0  Cumul = 0
870 Batch power = 0  Cumul = 0
880 Batch power = 0  Cumul = 0
890 Batch power = 0  Cumul = 0
900 Batch power = 0  Cumul = 0
   Metered power = 0
Pass 900 avg = 0.000160668, 0  var = 1.0006
noise_sigma = 0.707107
910 Batch power = 0  Cumul = 0
920 Batch power = 0  Cumul = 0
930 Batch power = 0  Cumul = 0
940 Batch power = 0  Cumul = 0
950 Batch power = 0  Cumul = 0
   Metered power = 0
960 Batch power = 0  Cumul = 0
970 Batch power = 0  Cumul = 0
980 Batch power = 0  Cumul = 0
990 Batch power = 0  Cumul = 0
1000 Batch power = 0  Cumul = 0
   Metered power = 0
Pass 1000 avg = 2.51255e-005, 0  var = 1.0009
noise_sigma = 0.707107