02.12.2011, Результаты многокритериальной оптимизации

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Строка 58: Строка 58:
 
|- align="center"
 
|- align="center"
 
!Signal  
 
!Signal  
−
!Antijamming<br>w=4.00  
+
!Antijamming<br>w=2.00  
−
!Astronomy<br>w=4.00   
+
!Astronomy<br>w=2.00   
−
!Accurancy<br>w=9.00   
+
!Accurancy<br>w=3.00   
−
!MultiPath<br>w=4.00   
+
!MultiPath<br>w=2.00   
−
!Inter from GPS<br>w=4.00  
+
!Inter from GPS<br>w=2.00  
 
!Inter to GPS<br>w=1.00  
 
!Inter to GPS<br>w=1.00  
−
!Search<br>w=4.00
+
!Search<br>w=2.00
 
!Complexity<br>w=1.00
 
!Complexity<br>w=1.00
−
!Intra<br>w=256.00
+
!Intra<br>w=16.00
 
!Norm
 
!Norm
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.000, 0.500) at 1570<math>f_b</math> || 0.075 || 0.430 || 0.034 || 0.249 || 0.788 || 0.848 || 0.167 || 0.678 || 0.599 || 9.8257
+
|BoCsin(3.250, 1.750) at 1563<math>f_b</math> || 1.000 || 0.848 || 0.971 || 0.000 || 0.822 || 0.891 || 0.559 || 0.901 || 0.929 || 15.5522
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.250, 0.500) at 1563<math>f_b</math> || 0.066 || 0.523 || 0.029 || 0.235 || 0.791 || 0.883 || 0.167 || 0.700 || 0.594 || 9.7814
+
|BoCsin(6.125, 1.750) at 1565<math>f_b</math> || 0.036 || 0.151 || 0.525 || 0.000 || 0.000 || 0.000 || 0.559 || 1.235 || 0.985 || 15.9286
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.500, 0.500) at 1562<math>f_b</math> || 0.058 || 0.387 || 0.025 || 0.217 || 0.786 || 0.860 || 0.167 || 0.723 || 0.587 || 9.6424
+
|BoCsin(3.250, 1.875) at 1563<math>f_b</math> || 0.936 || 0.887 || 0.969 || 0.000 || 0.821 || 0.888 || 0.599 || 1.037 || 0.803 || 13.6477
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.500, 0.500) at 1569<math>f_b</math> || 0.058 || 0.627 || 0.025 || 0.217 || 0.793 || 0.856 || 0.167 || 0.723 || 0.587 || 9.6948
+
|BoCsin(3.750, 1.875) at 1568<math>f_b</math> || 0.915 || 0.610 || 0.878 || 0.000 || 0.924 || 0.910 || 0.599 || 1.075 || 1.000 || 16.5712
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.750, 0.500) at 1568<math>f_b</math> || 0.051 || 0.645 || 0.021 || 0.198 || 0.806 || 0.862 || 0.167 || 0.745 || 0.591 || 9.7603
+
|BoCsin(5.125, 1.875) at 1564<math>f_b</math> || 0.171 || 0.953 || 0.621 || 0.000 || 0.593 || 0.631 || 0.599 || 1.173 || 0.749 || 12.4696
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.000, 0.500) at 1568<math>f_b</math> || 0.045 || 0.527 || 0.018 || 0.164 || 0.783 || 0.868 || 0.167 || 0.766 || 0.592 || 9.7382
+
|BoCsin(5.625, 1.875) at 1565<math>f_b</math> || 0.166 || 0.415 || 0.577 || 0.000 || 0.216 || 0.240 || 0.599 || 1.208 || 0.894 || 14.5469
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.250, 0.500) at 1567<math>f_b</math> || 0.039 || 0.559 || 0.016 || 0.158 || 0.781 || 0.837 || 0.167 || 0.788 || 0.584 || 9.6247
+
|BoCsin(3.250, 2.000) at 1563<math>f_b</math> || 0.889 || 0.910 || 0.967 || 0.000 || 0.825 || 0.886 || 0.639 || 0.913 || 0.665 || 11.5812
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.500, 0.500) at 1567<math>f_b</math> || 0.034 || 0.444 || 0.013 || 0.156 || 0.752 || 0.817 || 0.167 || 0.811 || 0.592 || 9.7086
+
|BoCsin(4.000, 2.000) at 1567<math>f_b</math> || 0.750 || 0.976 || 0.822 || 0.000 || 0.928 || 0.917 || 0.639 || 0.871 || 0.852 || 14.3064
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.750, 0.500) at 1566<math>f_b</math> || 0.030 || 0.462 || 0.011 || 0.150 || 0.477 || 0.606 || 0.167 || 0.830 || 0.592 || 9.6251
+
|BoCsin(4.000, 2.000) at 1568<math>f_b</math> || 0.750 || 0.615 || 0.822 || 0.000 || 0.899 || 0.918 || 0.639 || 0.871 || 0.852 || 14.2187
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.000, 0.500) at 1566<math>f_b</math> || 0.026 || 0.369 || 0.009 || 0.144 || 0.415 || 0.609 || 0.167 || 0.853 || 0.583 || 9.4603
+
|BoCsin(5.000, 2.000) at 1564<math>f_b</math> || 0.352 || 0.976 || 0.650 || 0.000 || 0.756 || 0.804 || 0.639 || 0.943 || 0.770 || 12.8544
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.250, 0.500) at 1565<math>f_b</math> || 0.022 || 0.409 || 0.007 || 0.140 || 0.398 || 0.576 || 0.167 || 0.872 || 0.588 || 9.5468
+
|BoCsin(5.000, 2.000) at 1565<math>f_b</math> || 0.352 || 0.561 || 0.650 || 0.000 || 0.538 || 0.648 || 0.639 || 0.943 || 0.770 || 12.7015
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.500, 0.500) at 1564<math>f_b</math> || 0.018 || 0.419 || 0.006 || 0.128 || 0.641 || 0.721 || 0.167 || 0.895 || 0.585 || 9.5583
+
|BoCsin(5.000, 2.000) at 1566<math>f_b</math> || 0.352 || 0.406 || 0.650 || 0.000 || 0.427 || 0.518 || 0.639 || 0.943 || 0.770 || 12.6551
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.500, 0.500) at 1565<math>f_b</math> || 0.018 || 0.301 || 0.006 || 0.128 || 0.347 || 0.509 || 0.167 || 0.895 || 0.585 || 9.4656
+
|BoCsin(5.000, 2.000) at 1567<math>f_b</math> || 0.352 || 1.000 || 0.650 || 0.000 || 0.658 || 0.688 || 0.639 || 0.943 || 0.770 || 12.8336
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.750, 0.500) at 1564<math>f_b</math> || 0.015 || 0.348 || 0.004 || 0.128 || 0.490 || 0.577 || 0.167 || 0.915 || 0.590 || 9.5897
+
|BoCsin(6.000, 2.000) at 1565<math>f_b</math> || 0.000 || 0.718 || 0.538 || 0.000 || 0.080 || 0.083 || 0.639 || 1.012 || 0.720 || 11.8380
 
|- align="center"
 
|- align="center"
−
|BoCsin(6.000, 0.500) at 1564<math>f_b</math> || 0.012 || 0.240 || 0.003 || 0.123 || 0.429 || 0.520 || 0.167 || 0.934 || 0.579 || 9.3942
+
|BoCsin(4.250, 2.125) at 1567<math>f_b</math> || 0.606 || 0.488 || 0.776 || 0.000 || 0.884 || 0.862 || 0.693 || 1.123 || 0.725 || 12.2296
 
|- align="center"
 
|- align="center"
−
|BoCsin(6.250, 0.500) at 1564<math>f_b</math> || 0.010 || 0.398 || 0.002 || 0.112 || 0.377 || 0.470 || 0.167 || 0.955 || 0.585 || 9.4928
+
|BoCsin(4.500, 2.250) at 1566<math>f_b</math> || 0.462 || 0.130 || 0.732 || 0.000 || 0.750 || 0.732 || 0.734 || 1.018 || 0.628 || 10.6108
 
|- align="center"
 
|- align="center"
−
|BoCsin(6.500, 0.500) at 1565<math>f_b</math> || 0.007 || 0.606 || 0.001 || 0.112 || 0.143 || 0.319 || 0.167 || 0.977 || 0.595 || 9.6643
+
|BoCsin(4.500, 2.250) at 1567<math>f_b</math> || 0.462 || 0.793 || 0.732 || 0.000 || 0.828 || 0.811 || 0.734 || 1.018 || 0.628 || 10.7541
 
|- align="center"
 
|- align="center"
−
|BoCsin(6.750, 0.500) at 1565<math>f_b</math> || 0.005 || 0.706 || 0.000 || 0.106 || 0.116 || 0.289 || 0.167 || 0.995 || 0.595 || 9.6887
+
|BoCsin(5.625, 2.250) at 1565<math>f_b</math> || 0.063 || 0.494 || 0.578 || 0.000 || 0.299 || 0.319 || 0.734 || 1.228 || 0.524 || 8.8512
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.000, 0.750) at 1564<math>f_b</math> || 0.068 || 0.520 || 0.034 || 0.261 || 0.852 || 0.904 || 0.250 || 0.678 || 0.450 || 7.5857
+
|BoCsin(5.625, 2.250) at 1566<math>f_b</math> || 0.063 || 0.915 || 0.578 || 0.000 || 0.180 || 0.264 || 0.734 || 1.228 || 0.524 || 8.9700
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.375, 0.750) at 1562<math>f_b</math> || 0.056 || 0.484 || 0.028 || 0.235 || 0.784 || 0.859 || 0.250 || 0.717 || 0.453 || 7.5970
+
|BoCsin(4.750, 2.375) at 1565<math>f_b</math> || 0.330 || 0.987 || 0.692 || 0.000 || 0.692 || 0.728 || 0.775 || 1.172 || 0.502 || 8.9123
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.750, 0.750) at 1568<math>f_b</math> || 0.046 || 0.685 || 0.022 || 0.178 || 0.808 || 0.864 || 0.250 || 0.748 || 0.435 || 7.3910
+
|BoCsin(4.750, 2.375) at 1566<math>f_b</math> || 0.330 || 0.273 || 0.692 || 0.000 || 0.642 || 0.646 || 0.775 || 1.172 || 0.502 || 8.6864
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.125, 0.750) at 1568<math>f_b</math> || 0.038 || 0.652 || 0.017 || 0.174 || 0.787 || 0.860 || 0.250 || 0.783 || 0.441 || 7.4664
+
|BoCsin(3.125, 2.500) at 1563<math>f_b</math> || 0.789 || 0.928 || 0.999 || 0.000 || 0.859 || 0.893 || 0.816 || 1.056 || 0.314 || 6.9087
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.500, 0.750) at 1567<math>f_b</math> || 0.031 || 0.470 || 0.014 || 0.164 || 0.761 || 0.824 || 0.250 || 0.817 || 0.438 || 7.3556
+
|BoCsin(5.000, 2.500) at 1565<math>f_b</math> || 0.201 || 0.074 || 0.659 || 0.000 || 0.600 || 0.690 || 0.816 || 1.002 || 0.402 || 7.1458
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.875, 0.750) at 1566<math>f_b</math> || 0.025 || 0.437 || 0.010 || 0.152 || 0.474 || 0.614 || 0.250 || 0.850 || 0.442 || 7.2916
+
|BoCsin(5.000, 2.500) at 1566<math>f_b</math> || 0.201 || 0.694 || 0.659 || 0.000 || 0.530 || 0.601 || 0.816 || 1.002 || 0.402 || 7.2481
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.250, 0.750) at 1564<math>f_b</math> || 0.019 || 0.577 || 0.008 || 0.140 || 0.712 || 0.787 || 0.250 || 0.881 || 0.450 || 7.5463
+
|BoCsin(5.250, 2.625) at 1565<math>f_b</math> || 0.079 || 0.210 || 0.630 || 0.000 || 0.508 || 0.573 || 0.857 || 1.221 || 0.311 || 5.8635
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.250, 0.750) at 1565<math>f_b</math> || 0.019 || 0.452 || 0.008 || 0.140 || 0.425 || 0.596 || 0.250 || 0.881 || 0.450 || 7.4067
+
|BoCsin(5.250, 2.625) at 1566<math>f_b</math> || 0.079 || 0.848 || 0.630 || 0.000 || 0.421 || 0.547 || 0.857 || 1.221 || 0.311 || 6.0607
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.625, 0.750) at 1565<math>f_b</math> || 0.014 || 0.423 || 0.005 || 0.117 || 0.352 || 0.511 || 0.250 || 0.915 || 0.439 || 7.2069
+
|BoCcos(3.250, 1.750) at 1563<math>f_b</math> || 0.994 || 0.852 || 0.970 || 0.000 || 0.820 || 0.889 || 0.559 || 0.901 || 0.904 || 15.1720
 
|- align="center"
 
|- align="center"
−
|BoCsin(6.000, 0.750) at 1564<math>f_b</math> || 0.010 || 0.272 || 0.003 || 0.097 || 0.446 || 0.539 || 0.250 || 0.946 || 0.446 || 7.3161
+
|BoCcos(3.250, 1.875) at 1563<math>f_b</math> || 0.934 || 0.881 || 0.968 || 0.000 || 0.820 || 0.887 || 0.599 || 1.037 || 0.791 || 13.4672
 
|- align="center"
 
|- align="center"
−
|BoCsin(6.375, 0.750) at 1565<math>f_b</math> || 0.007 || 0.642 || 0.002 || 0.231 || 0.205 || 0.379 || 0.250 || 0.978 || 0.431 || 7.1383
+
|BoCcos(5.125, 1.875) at 1564<math>f_b</math> || 0.170 || 0.961 || 0.621 || 0.000 || 0.594 || 0.631 || 0.599 || 1.173 || 0.794 || 13.1708
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.500, 1.000) at 1562<math>f_b</math> || 0.047 || 0.416 || 0.026 || 0.178 || 0.786 || 0.859 || 0.333 || 0.730 || 0.350 || 6.0353
+
|BoCcos(3.000, 2.000) at 1564<math>f_b</math> || 0.894 || 0.000 || 0.996 || 0.000 || 0.848 || 0.862 || 0.639 || 0.796 || 0.730 || 12.4205
 
|- align="center"
 
|- align="center"
−
|BoCsin(4.500, 1.000) at 1567<math>f_b</math> || 0.027 || 0.480 || 0.014 || 0.162 || 0.766 || 0.828 || 0.333 || 0.825 || 0.344 || 5.9613
+
|BoCcos(3.250, 2.000) at 1563<math>f_b</math> || 0.888 || 0.905 || 0.967 || 0.000 || 0.825 || 0.886 || 0.639 || 0.913 || 0.665 || 11.5699
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.000, 1.000) at 1566<math>f_b</math> || 0.020 || 0.556 || 0.010 || 0.134 || 0.469 || 0.645 || 0.333 || 0.870 || 0.341 || 5.7934
+
|BoCcos(3.375, 2.250) at 1563<math>f_b</math> || 0.605 || 0.666 || 0.885 || 0.000 || 0.771 || 0.844 || 0.734 || 1.065 || 0.488 || 8.8144
 
|- align="center"
 
|- align="center"
−
|BoCsin(5.500, 1.000) at 1565<math>f_b</math> || 0.014 || 0.344 || 0.006 || 0.131 || 0.403 || 0.554 || 0.333 || 0.913 || 0.337 || 5.6407
+
|BoCcos(3.125, 2.500) at 1563<math>f_b</math> || 0.790 || 0.922 || 1.000 || 0.000 || 0.860 || 0.893 || 0.816 || 1.056 || 0.314 || 6.9045
 
|- align="center"
 
|- align="center"
−
|BoCsin(6.000, 1.000) at 1565<math>f_b</math> || 0.008 || 0.645 || 0.003 || 0.123 || 0.298 || 0.453 || 0.333 || 0.955 || 0.337 || 5.7142
+
|BoCcos(2.750, 2.750) at 1565<math>f_b</math> || 0.669 || 0.723 || 0.996 || 0.000 || 1.000 || 1.000 || 0.897 || 0.904 || 0.188 || 5.5555
 
|- align="center"
 
|- align="center"
−
|BoCsin(6.500, 1.000) at 1565<math>f_b</math> || 0.003 || 0.692 || 0.001 || 0.261 || 0.208 || 0.379 || 0.333 || 0.999 || 0.334 || 5.7033
+
|BoCcos(2.875, 2.875) at 1564<math>f_b</math> || 0.559 || 0.848 || 0.953 || 0.000 || 0.856 || 0.867 || 0.938 || 1.051 || 0.095 || 4.7855
 
|- align="center"
 
|- align="center"
−
|BoCsin(3.125, 1.250) at 1563<math>f_b</math> || 0.052 || 0.563 || 0.033 || NaN || 0.815 || 0.888 || NaN || 0.690 || 0.273 || NaN
+
|BoCcos(3.000, 3.000) at 1564<math>f_b</math> || 0.453 || 0.418 || 0.913 || 0.000 || 0.833 || 0.845 || 1.000 || 0.839 || 0.000 || 4.1504
−
|- align="center"
+
−
|BoCsin(4.375, 1.250) at 1567<math>f_b</math> || 0.026 || 0.627 || 0.015 || NaN || 0.787 || 0.842 || NaN || 0.818 || 0.266 || NaN
+
−
|- align="center"
+
−
|BoCsin(5.000, 1.250) at 1566<math>f_b</math> || 0.017 || 0.527 || 0.010 || NaN || 0.500 || 0.665 || NaN || 0.876 || 0.254 || NaN
+
−
|- align="center"
+
−
|BoCsin(5.625, 1.250) at 1565<math>f_b</math> || 0.010 || 0.444 || 0.006 || NaN || 0.398 || 0.548 || NaN || 0.933 || 0.255 || NaN
+
−
|- align="center"
+
−
|BoCsin(4.500, 1.500) at 1567<math>f_b</math> || 0.021 || 0.477 || 0.014 || 0.129 || 0.777 || 0.835 || 0.500 || 0.836 || 0.196 || 3.9582
+
−
|- align="center"
+
−
|BoCsin(5.250, 1.500) at 1565<math>f_b</math> || 0.012 || 0.498 || 0.008 || 0.182 || 0.516 || 0.665 || 0.500 || 0.906 || 0.196 || 3.7783
+
−
|- align="center"
+
−
|BoCsin(6.000, 1.500) at 1565<math>f_b</math> || 0.004 || 0.667 || 0.004 || 0.149 || 0.351 || 0.499 || 0.500 || 0.975 || 0.190 || 3.7090
+
−
|- align="center"
+
−
|BoCsin(4.375, 1.750) at 1567<math>f_b</math> || 0.020 || 0.677 || 0.016 || 0.126 || 0.796 || 0.848 || 0.583 || 0.831 || 0.156 || 3.6706
+
−
|- align="center"
+
−
|BoCsin(5.250, 1.750) at 1565<math>f_b</math> || 0.010 || 0.452 || 0.008 || 0.155 || 0.547 || 0.688 || 0.583 || 0.915 || 0.145 || 3.1918
+
−
|- align="center"
+
−
|BoCsin(6.125, 1.750) at 1564<math>f_b</math> || 0.002 || 0.573 || 0.003 || 0.172 || 0.524 || 0.620 || 0.583 || 1.000 || 0.139 || 3.1947
+
−
|- align="center"
+
−
|BoCsin(5.000, 2.000) at 1566<math>f_b</math> || 0.010 || 0.616 || 0.010 || 0.135 || 0.575 || 0.717 || 0.667 || 0.902 || 0.101 || 2.9407
+
−
|- align="center"
+
−
|BoCsin(4.500, 2.250) at 1566<math>f_b</math> || 0.013 || 0.602 || 0.015 || 0.150 || 0.745 || 0.807 || 0.750 || 0.858 || 0.077 || 2.9837
+
−
|- align="center"
+
−
|BoCsin(5.625, 2.250) at 1565<math>f_b</math> || 0.002 || 0.541 || 0.006 || 0.135 || 0.507 || 0.632 || 0.750 || 0.971 || 0.059 || 2.5965
+
−
|- align="center"
+
−
|BoCsin(5.000, 2.500) at 1565<math>f_b</math> || 0.006 || 0.584 || 0.011 || 0.164 || 0.666 || 0.789 || 0.833 || 0.918 || 0.037 || 2.8015
+
−
|- align="center"
+
−
|BoCsin(5.500, 2.750) at 1566<math>f_b</math> || 0.000 || 0.677 || 0.007 || 1.000 || 0.523 || 0.677 || 0.917 || 0.977 || 0.000 || 3.4213
+
−
|- align="center"
+
−
|BoCsin(4.500, 3.000) at 1567<math>f_b</math> || 0.007 || 0.427 || 0.016 || 0.813 || 0.804 || 0.853 || 1.000 || 0.878 || 0.000 || 3.3854
+
−
|- align="center"
+
−
|BoCsin(0.500, 0.500) at 1559<math>f_b</math> || 0.442 || 0.645 || 0.381 || 0.697 || 0.046 || 0.273 || 0.167 || 0.283 || 0.736 || 12.0344
+
−
|- align="center"
+
−
|BoCsin(0.750, 0.500) at 1559<math>f_b</math> || 0.336 || 0.789 || 0.236 || 0.580 || 0.134 || 0.346 || 0.167 || 0.374 || 0.655 || 10.7325
+
−
|- align="center"
+
−
|BoCsin(1.000, 0.500) at 1559<math>f_b</math> || 0.266 || 0.871 || 0.162 || 0.494 || 0.227 || 0.426 || 0.167 || 0.438 || 0.629 || 10.3139
+
−
|- align="center"
+
−
|BoCsin(1.250, 0.500) at 1559<math>f_b</math> || 0.217 || 0.946 || 0.123 || 0.842 || 0.265 || 0.470 || 0.167 || 0.482 || 0.613 || 10.1850
+
−
|- align="center"
+
−
|BoCsin(1.500, 0.500) at 1560<math>f_b</math> || 0.181 || 1.000 || 0.096 || 0.647 || 0.407 || 0.591 || 0.167 || 0.518 || 0.606 || 10.0625
+
−
|- align="center"
+
−
|BoCsin(0.750, 0.750) at 1559<math>f_b</math> || 0.275 || 0.728 || 0.243 || 0.715 || 0.114 || 0.330 || 0.250 || 0.320 || 0.587 || 9.6770
+
−
|- align="center"
+
−
|BoCsin(1.125, 0.750) at 1559<math>f_b</math> || 0.203 || 0.839 || 0.146 || 0.213 || 0.243 || 0.443 || 0.250 || 0.432 || 0.514 || 8.4800
+
−
|- align="center"
+
−
|BoCsin(1.000, 1.000) at 1560<math>f_b</math> || 0.191 || 0.792 || 0.176 || 0.149 || 0.330 || 0.528 || 0.333 || 0.362 || 0.480 || 7.9530
+
−
|- align="center"
+
−
|BoCcos(2.500, 0.500) at 1566<math>f_b</math> || 0.087 || 0.480 || 0.047 || 0.303 || 1.000 || 1.000 || 0.167 || 0.629 || 0.579 || 9.6300
+
−
|- align="center"
+
−
|BoCcos(2.750, 0.500) at 1565<math>f_b</math> || 0.076 || 0.427 || 0.040 || 0.259 || 0.977 || 0.996 || 0.167 || 0.655 || 0.593 || 9.8185
+
−
|- align="center"
+
−
|BoCcos(3.000, 0.500) at 1564<math>f_b</math> || 0.067 || 0.222 || 0.035 || 0.249 || 0.820 || 0.881 || 0.167 || 0.676 || 0.576 || 9.4535
+
−
|- align="center"
+
−
|BoCcos(3.250, 0.500) at 1563<math>f_b</math> || 0.058 || 0.226 || 0.029 || 0.235 || 0.775 || 0.873 || 0.167 || 0.700 || 0.590 || 9.6605
+
−
|- align="center"
+
−
|BoCcos(3.500, 0.500) at 1562<math>f_b</math> || 0.051 || 0.036 || 0.026 || 0.197 || 0.775 || 0.853 || 0.167 || 0.722 || 0.578 || 9.4548
+
−
|- align="center"
+
−
|BoCcos(3.750, 0.500) at 1562<math>f_b</math> || 0.045 || 0.534 || 0.022 || 0.218 || 0.774 || 0.851 || 0.167 || 0.745 || 0.586 || 9.6487
+
−
|- align="center"
+
−
|BoCcos(2.625, 0.750) at 1565<math>f_b</math> || 0.070 || 0.616 || 0.042 || 0.303 || 0.977 || 0.990 || 0.250 || 0.640 || 0.437 || 7.5056
+
−
|- align="center"
+
−
|BoCcos(3.000, 0.750) at 1564<math>f_b</math> || 0.058 || 0.161 || 0.034 || 0.261 || 0.815 || 0.877 || 0.250 || 0.679 || 0.448 || 7.4802
+
−
|- align="center"
+
−
|BoCcos(3.375, 0.750) at 1561<math>f_b</math> || 0.047 || 0.254 || 0.027 || 0.234 || 0.768 || 0.849 || 0.250 || 0.715 || 0.440 || 7.3345
+
−
|- align="center"
+
−
|BoCcos(3.750, 0.750) at 1562<math>f_b</math> || 0.038 || 0.627 || 0.022 || 0.213 || 0.773 || 0.852 || 0.250 || 0.750 || 0.445 || 7.5026
+
−
|- align="center"
+
−
|BoCcos(3.000, 1.000) at 1564<math>f_b</math> || 0.050 || 0.455 || 0.033 || 0.272 || 0.810 || 0.873 || 0.333 || 0.678 || 0.338 || 5.8849
+
−
|- align="center"
+
−
|BoCcos(3.500, 1.000) at 1562<math>f_b</math> || 0.038 || 0.000 || 0.025 || 0.229 || 0.769 || 0.850 || 0.333 || 0.728 || 0.329 || 5.6632
+
−
|- align="center"
+
−
|BoCcos(3.125, 1.250) at 1563<math>f_b</math> || 0.040 || 0.280 || 0.031 || NaN || 0.777 || 0.858 || NaN || 0.693 || 0.259 || NaN
+
−
|- align="center"
+
−
|BoCcos(0.500, 0.500) at 1559<math>f_b</math> || 0.372 || 0.756 || 0.289 || 0.997 || 0.132 || 0.349 || 0.167 || 0.275 || 0.627 || 10.4153
+
−
|- align="center"
+
−
|BoCcos(0.750, 0.500) at 1559<math>f_b</math> || 0.285 || 0.839 || 0.203 || 0.814 || 0.197 || 0.404 || 0.167 || 0.377 || 0.602 || 9.9777
+
−
|- align="center"
+
−
|BoCcos(1.000, 0.500) at 1559<math>f_b</math> || 0.228 || 0.885 || 0.150 || 0.697 || 0.261 || 0.463 || 0.167 || 0.438 || 0.596 || 9.8579
+
−
|- align="center"
+
−
|BoCcos(1.250, 0.500) at 1559<math>f_b</math> || 0.188 || 0.957 || 0.117 || 0.580 || 0.313 || 0.515 || 0.167 || 0.482 || 0.591 || 9.7750
+
−
|- align="center"
+
−
|BoCcos(1.500, 0.500) at 1560<math>f_b</math> || 0.158 || 0.903 || 0.095 || 0.494 || 0.471 || 0.638 || 0.167 || 0.520 || 0.599 || 9.8903
+
−
|- align="center"
+
−
|BoCcos(0.750, 0.750) at 1559<math>f_b</math> || 0.229 || 0.799 || 0.188 || 0.841 || 0.208 || 0.416 || 0.250 || 0.327 || 0.489 || 8.2318
+
−
|- align="center"
+
−
|BoCcos(1.125, 0.750) at 1559<math>f_b</math> || 0.170 || 0.885 || 0.126 || 0.647 || 0.309 || 0.507 || 0.250 || 0.431 || 0.460 || 7.7706
+
−
|- align="center"
+
−
|BoCcos(1.000, 1.000) at 1560<math>f_b</math> || 0.157 || 0.885 || 0.130 || 0.714 || 0.439 || 0.606 || 0.333 || 0.359 || 0.374 || 6.5538
+
−
|- align="center"
+
−
|BPSK(0.500) at 1558<math>f_b</math> || 1.000 || 0.434 || 1.000 || NaN || 0.047 || 0.000 || NaN || 0.000 || 1.000 || NaN
+
−
|- align="center"
+
−
|BPSK(0.750) at 1558<math>f_b</math> || 0.647 || 0.491 || 0.632 || NaN || 0.040 || 0.043 || NaN || 0.026 || 0.838 || NaN
+
−
|- align="center"
+
−
|BPSK(1.000) at 1559<math>f_b</math> || 0.470 || 0.570 || 0.467 || NaN || 0.000 || 0.229 || NaN || 0.040 || 0.733 || NaN
+
−
|- align="center"
+
−
|BPSK(1.500) at 1559<math>f_b</math> || 0.294 || 0.627 || 0.303 || NaN || 0.050 || 0.274 || NaN || 0.080 || 0.585 || NaN
+
−
|- align="center"
+
−
|BPSK(2.000) at 1560<math>f_b</math> || 0.206 || 0.688 || 0.221 || NaN || 0.268 || 0.484 || NaN || 0.120 || 0.480 || NaN
+
 
|}  
 
|}  
 
{{wl-publish: 2011-12-03 04:13:19 +0400 | Korogodin }}
 
{{wl-publish: 2011-12-03 04:13:19 +0400 | Korogodin }}

Версия 21:30, 10 декабря 2011

<accesscontrol>SuperUsers</accesscontrol> Результаты расчетов

Частотный диапазон L1

L1OC

Multi-objective optimization for L1OC signal
Signal Antijamming
w=0.08 		Astronomy
w=0.13 		Accurancy
w=0.15 		MultiPath
w=0.08 		Inter from GPS
w=0.08 		Inter to GPS
w=0.08 		Search
w=0.15 		Complexity
w=0.40 		Intra
w=0.08 		Norm
BoCsin(0.250, 0.250) at 1565f_b 0.970 0.140 0.792 0.000 0.966 0.972 0.145 2.369 0.989 1.6276
BoCsin(0.500, 0.500) at 1565f_b 0.582 0.727 0.397 0.000 0.949 0.961 0.304 2.241 0.608 1.5225
BoCsin(1.000, 1.000) at 1565f_b 0.195 1.000 0.198 0.000 0.902 0.927 0.638 2.374 0.226 1.6098
BoCcos(0.250, 0.250) at 1565f_b 0.886 0.485 0.614 0.000 0.947 0.959 0.145 2.372 0.833 1.6138
BPSK(0.500) at 1565f_b 1.000 0.000 1.000 0.000 0.987 0.988 0.145 1.839 1.000 1.3498
BPSK(0.500) at 1566f_b 1.000 0.117 1.000 0.000 1.000 1.000 0.145 1.839 1.000 1.3519
BPSK(0.500) at 1570f_b 1.000 0.842 1.000 0.000 0.000 0.000 0.145 1.839 1.000 1.3259
BPSK(0.750) at 1565f_b 0.774 0.091 0.642 0.000 0.976 0.980 0.228 2.178 0.759 1.4884
BPSK(1.000) at 1565f_b 0.613 0.201 0.481 0.000 0.968 0.974 0.304 1.839 0.603 1.2715
BPSK(1.000) at 1566f_b 0.613 0.360 0.481 0.000 0.975 0.979 0.304 1.839 0.603 1.2768
BPSK(1.250) at 1565f_b 0.489 0.350 0.386 0.000 0.960 0.969 0.389 2.304 0.484 1.5400
BPSK(1.500) at 1565f_b 0.387 0.431 0.321 0.000 0.952 0.963 0.478 2.105 0.383 1.4200
BPSK(2.000) at 1565f_b 0.226 0.463 0.241 0.000 0.936 0.951 0.638 2.105 0.226 1.4215
BPSK(2.500) at 1565f_b 0.102 0.599 0.192 0.000 0.919 0.938 0.815 2.371 0.101 1.5937
BPSK(3.000) at 1565f_b 0.000 0.844 0.160 0.000 0.905 0.927 1.000 2.371 0.000 1.6214

L1SC

Multi-objective optimization for L1SC signal
Signal Antijamming
w=2.00 		Astronomy
w=2.00 		Accurancy
w=3.00 		MultiPath
w=2.00 		Inter from GPS
w=2.00 		Inter to GPS
w=1.00 		Search
w=2.00 		Complexity
w=1.00 		Intra
w=16.00 		Norm
BoCsin(3.250, 1.750) at 1563f_b 1.000 0.848 0.971 0.000 0.822 0.891 0.559 0.901 0.929 15.5522
BoCsin(6.125, 1.750) at 1565f_b 0.036 0.151 0.525 0.000 0.000 0.000 0.559 1.235 0.985 15.9286
BoCsin(3.250, 1.875) at 1563f_b 0.936 0.887 0.969 0.000 0.821 0.888 0.599 1.037 0.803 13.6477
BoCsin(3.750, 1.875) at 1568f_b 0.915 0.610 0.878 0.000 0.924 0.910 0.599 1.075 1.000 16.5712
BoCsin(5.125, 1.875) at 1564f_b 0.171 0.953 0.621 0.000 0.593 0.631 0.599 1.173 0.749 12.4696
BoCsin(5.625, 1.875) at 1565f_b 0.166 0.415 0.577 0.000 0.216 0.240 0.599 1.208 0.894 14.5469
BoCsin(3.250, 2.000) at 1563f_b 0.889 0.910 0.967 0.000 0.825 0.886 0.639 0.913 0.665 11.5812
BoCsin(4.000, 2.000) at 1567f_b 0.750 0.976 0.822 0.000 0.928 0.917 0.639 0.871 0.852 14.3064
BoCsin(4.000, 2.000) at 1568f_b 0.750 0.615 0.822 0.000 0.899 0.918 0.639 0.871 0.852 14.2187
BoCsin(5.000, 2.000) at 1564f_b 0.352 0.976 0.650 0.000 0.756 0.804 0.639 0.943 0.770 12.8544
BoCsin(5.000, 2.000) at 1565f_b 0.352 0.561 0.650 0.000 0.538 0.648 0.639 0.943 0.770 12.7015
BoCsin(5.000, 2.000) at 1566f_b 0.352 0.406 0.650 0.000 0.427 0.518 0.639 0.943 0.770 12.6551
BoCsin(5.000, 2.000) at 1567f_b 0.352 1.000 0.650 0.000 0.658 0.688 0.639 0.943 0.770 12.8336
BoCsin(6.000, 2.000) at 1565f_b 0.000 0.718 0.538 0.000 0.080 0.083 0.639 1.012 0.720 11.8380
BoCsin(4.250, 2.125) at 1567f_b 0.606 0.488 0.776 0.000 0.884 0.862 0.693 1.123 0.725 12.2296
BoCsin(4.500, 2.250) at 1566f_b 0.462 0.130 0.732 0.000 0.750 0.732 0.734 1.018 0.628 10.6108
BoCsin(4.500, 2.250) at 1567f_b 0.462 0.793 0.732 0.000 0.828 0.811 0.734 1.018 0.628 10.7541
BoCsin(5.625, 2.250) at 1565f_b 0.063 0.494 0.578 0.000 0.299 0.319 0.734 1.228 0.524 8.8512
BoCsin(5.625, 2.250) at 1566f_b 0.063 0.915 0.578 0.000 0.180 0.264 0.734 1.228 0.524 8.9700
BoCsin(4.750, 2.375) at 1565f_b 0.330 0.987 0.692 0.000 0.692 0.728 0.775 1.172 0.502 8.9123
BoCsin(4.750, 2.375) at 1566f_b 0.330 0.273 0.692 0.000 0.642 0.646 0.775 1.172 0.502 8.6864
BoCsin(3.125, 2.500) at 1563f_b 0.789 0.928 0.999 0.000 0.859 0.893 0.816 1.056 0.314 6.9087
BoCsin(5.000, 2.500) at 1565f_b 0.201 0.074 0.659 0.000 0.600 0.690 0.816 1.002 0.402 7.1458
BoCsin(5.000, 2.500) at 1566f_b 0.201 0.694 0.659 0.000 0.530 0.601 0.816 1.002 0.402 7.2481
BoCsin(5.250, 2.625) at 1565f_b 0.079 0.210 0.630 0.000 0.508 0.573 0.857 1.221 0.311 5.8635
BoCsin(5.250, 2.625) at 1566f_b 0.079 0.848 0.630 0.000 0.421 0.547 0.857 1.221 0.311 6.0607
BoCcos(3.250, 1.750) at 1563f_b 0.994 0.852 0.970 0.000 0.820 0.889 0.559 0.901 0.904 15.1720
BoCcos(3.250, 1.875) at 1563f_b 0.934 0.881 0.968 0.000 0.820 0.887 0.599 1.037 0.791 13.4672
BoCcos(5.125, 1.875) at 1564f_b 0.170 0.961 0.621 0.000 0.594 0.631 0.599 1.173 0.794 13.1708
BoCcos(3.000, 2.000) at 1564f_b 0.894 0.000 0.996 0.000 0.848 0.862 0.639 0.796 0.730 12.4205
BoCcos(3.250, 2.000) at 1563f_b 0.888 0.905 0.967 0.000 0.825 0.886 0.639 0.913 0.665 11.5699
BoCcos(3.375, 2.250) at 1563f_b 0.605 0.666 0.885 0.000 0.771 0.844 0.734 1.065 0.488 8.8144
BoCcos(3.125, 2.500) at 1563f_b 0.790 0.922 1.000 0.000 0.860 0.893 0.816 1.056 0.314 6.9045
BoCcos(2.750, 2.750) at 1565f_b 0.669 0.723 0.996 0.000 1.000 1.000 0.897 0.904 0.188 5.5555
BoCcos(2.875, 2.875) at 1564f_b 0.559 0.848 0.953 0.000 0.856 0.867 0.938 1.051 0.095 4.7855
BoCcos(3.000, 3.000) at 1564f_b 0.453 0.418 0.913 0.000 0.833 0.845 1.000 0.839 0.000 4.1504

— Корогодин Илья • 04:13, 3 декабря 2011 • нет комментариев

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