HFU HF Underground
Loggings => DGPS => Topic started by: ChrisSmolinski on December 18, 2016, 1919 UTC
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I ran a bit of an experiment here. I took the SDR recordings, and ran them through ADGPS, with the following results. See the next message for part 2. Note that most of the stations with 1 or 2 decodes are bogus, and even a few further down the list, like those from Japan.
Count ID ref1 ref2 kHz Baud City Country Lat Lon km Deg
1 906 306 307 300.0 200 Sandspit, BC Canada 53.242 -131.814 4,341 309
1 895 290 291 298.0 100 Potato Point, AK Alaska 61.061 -146.706 5,175 321
1 888 276 277 302.0 100 Whidbey Island, WA United States 48.322 -122.706 3,723 300
1 343 486 487 287.5 200 Porto Santo Madeira 33.067 -16.35 5,372 78
1 620 640 641 317.0 200 Dezhoudao China 23.333 116.75 12,864 346
1 746 197 198 288.0 200 Phu Quoc Vietnam 10.018 104.018 14,486 359
1 325 450 451 314.5 200 El Quseir Egypt 26.141 34.268 9,807 57
1 764 210 211 314.0 200 Lincoln, CA United States 38.855 -121.361 3,784 283
1 505 785 815 313.0 200 Utsira Lt Norway 59.312 4.876 5,867 39
1 613 626 627 310.0 200 Dinghai China 30.017 122.067 12,018 343
2 140 480 481 298.0 200 Bahrain Bahrain 26.117 50.65 10,905 46
2 708 008 001 306.0 200 Ingham, QD Australia -18.343 146.31 15,248 287
3 907 304 305 320.0 200 Richmond, BC Canada 49.114 -123.183 3,755 302
4 946 344 345 299.0 200 Rigolet, NL Canada 54.25 -58.5 2,126 34
16 828 246 247 301.0 100 Angleton, TX United States 29.301 -95.484 2,048 241
21 871 172 173 300.0 100 Appleton, WA United States 45.792 -121.332 3,639 296
29 918 310 311 286.0 200 Wiarton, ON Canada 44.75 -81.117 658 330
58 886 272 273 287.0 100 Fort Stevens, OR United States 46.208 -123.96 3,836 297
95 936 332 333 319.0 200 Point Escuminac, NB Canada 47.075 -64.8 1,277 46
131 927 316 317 309.0 200 Lauzon, QC Canada 46.821 -71.165 919 29
138 816 032 033 304.0 100 Aransas Pass, TX United States 27.842 -97.065 2,271 241
139 881 262 263 302.0 100 Point Loma, CA United States 32.677 -117.25 3,668 271
199 919 308 309 306.0 200 Cardinal, ON Canada 44.783 -75.417 579 12
502 940 338 339 315.0 200 Cape Race, NL Canada 46.661 -53.075 2,075 60
921 937 330 331 298.0 200 Hartlen Point, NS Canada 44.583 -63.45 1,236 60
957 934 336 337 307.0 200 Fox Island, NS Canada 45.361 -61.097 1,440 59
2188 972 901 902 302.0 200 Miraflores Panama 8.993 -79.585 3,425 185
2449 836 112 113 292.0 200 Cheboygan, MI United States 45.656 -84.475 903 320
2879 814 028 029 293.0 200 English Turn, LA United States 29.886 -89.947 1,609 231
4008 809 018 019 289.0 100 Cape Canaveral, FL United States 28.467 -80.554 1,292 196
4149 935 334 335 312.0 200 Western Head, NS Canada 43.993 -64.67 1,122 61
7193 944 342 343 310.0 200 Cape Norman, NL Canada 51.509 -55.831 2,090 44
7225 830 100 101 296.0 100 Wisconsin, Point WI United States 46.708 -92.025 1,446 308
7350 869 168 169 290.0 200 Louisville, KY United States 38.018 -85.31 747 258
12314 839 118 119 322.0 100 Youngstown, NY United States 43.239 -78.972 428 337
15190 862 154 155 322.0 200 St Louis, MO United States 38.619 -89.764 1,110 268
18155 864 158 159 317.0 200 St Paul [Alma], MN United States 44.306 -91.906 1,335 297
18676 925 320 321 313.0 200 Moise, QC Canada 50.202 -66.119 1,443 32
18792 939 326 327 295.0 200 Partridge Island, NB Canada 45.239 -66.056 1,084 52
21619 865 160 161 320.0 200 Millers Ferry, AL United States 32.095 -87.397 1,264 231
23281 831 102 103 298.0 100 Upper Keweenaw, MI United States 47.233 -88.628 1,258 316
27231 806 012 013 289.0 100 Driver, VA United States 36.963 -76.562 306 174
27689 929 312 313 296.0 200 St Jean Richelieu, QC Canada 45.324 -73.317 693 24
28375 827 244 245 312.0 200 Tampa, FL United States 27.85 -82.543 1,415 203
29193 778 192 193 292.0 100 Kensington, SC United States 33.491 -79.349 723 198
29635 803 006 007 293.0 100 Moriches, NY United States 40.794 -72.756 376 70
34350 771 196 197 294.0 100 New Bern, NC United States 35.181 -77.059 503 181
34400 866 162 163 299.0 200 Sallisaw, OK United States 35.369 -94.817 1,644 259
35236 808 016 017 314.0 200 Card Sound, FL United States 25.442 -80.452 1,619 193
35303 942 340 341 288.0 200 Cape Ray, NL Canada 47.636 -59.241 1,670 52
38747 926 318 319 300.0 200 Riviere du Loop, QC Canada 47.762 -69.606 1,072 31
39502 799 044 045 290.0 200 Penobscot, ME United States 44.453 -68.776 856 49
40875 863 156 157 311.0 200 Rock Island IL United States 42.02 -90.231 1,145 287
42427 838 116 117 319.0 200 Detroit, MI United States 42.306 -83.103 592 301
51898 792 136 137 297.0 200 Bobo, MS United States 34.125 -90.696 1,368 247
52062 777 218 219 304.0 200 Mequon, WI United States 43.202 -88.066 1,004 296
54122 772 198 199 306.0 200 Acushnet, MA United States 41.749 -70.889 559 64
54405 870 170 171 309.0 200 Reedy Point, DE United States 39.569 -75.572 119 97
54551 804 008 009 286.0 200 Sandy Hook, NJ United States 40.475 -74.02 264 70
55028 847 058 059 301.0 200 Annapolis, MD United States 39.018 -76.61 81 159
55116 844 094 095 324.0 200 Hudson Falls, NY United States 43.272 -73.542 488 34
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And now the decodes via a test version of ADGPS, which steps from -25 to +25 hz for each DGPS channel, in 1 Hz steps, as it decodes. In theory to better receive weaker signals if the station or receiver is off frequency:
Count ID ref1 ref2 kHz Baud City Country Lat Lon km Deg
1 708 008 001 306.0 200 Ingham, QD Australia -18.343 146.31 15,248 287
1 649 698 699 321.0 200 Ohama Japan 34.089 133. 11,252 335
1 888 276 277 302.0 100 Whidbey Island, WA United States 48.322 -122.706 3,723 300
1 654 708 709 320.5 200 Nakano Shima Japan 29.819 129.919 11,802 336
1 601 602 603 301.5 200 Dasansgan Dao Lt China 38.873 121.831 11,072 345
1 324 448 449 307.0 200 Mersa Martruh Egypt 31.365 27.256 8,911 57
1 342 484 485 308.0 200 Horta Azores 38.533 -28.617 4,121 76
1 323 446 447 298.0 200 Ras Gharib Egypt 28.353 33.117 9,555 56
1 895 290 291 298.0 100 Potato Point, AK Alaska 61.061 -146.706 5,175 321
1 001 961 001 320.0 200 Jeddah Saudi Arabia 21.467 39.133 10,525 57
1 518 797 827 309.5 200 Fruholmen Lt Norway 71.101 23.989 6,244 23
1 743 126 127 296.0 200 Kuala Besar Malaysia 6.217 102.233 14,909 1
1 364 528 001 291.0 100 Cabo Salou Spain 41.05 1.167 6,381 61
1 613 626 627 310.0 200 Dinghai China 30.017 122.067 12,018 343
1 711 011 001 315.0 200 Albany, WE Australia -35.088 117.9 18,609 287
1 764 210 211 314.0 200 Lincoln, CA United States 38.855 -121.361 3,784 283
1 362 524 525 293.0 100 Mahon, Menorca Balearics 39.867 4.3 6,677 61
1 061 061 061 313.0 100 Russian Cat Russia [East] 64.567 178.55 6,715 331
1 505 785 815 313.0 200 Utsira Lt Norway 59.312 4.876 5,867 39
1 628 656 657 313.0 200 Yangpu Gang China 19.725 109.189 13,377 353
1 666 000 732 310.0 200 Changgigot (Homigot) Lt South Korea 36.088 129.569 11,162 338
1 664 728 729 295.0 200 Eocheong Do Lt South Korea 36.13 125.97 11,263 341
2 748 199 200 299.0 200 Danang Vietnam 38.873 121.831 11,072 345
2 627 654 655 295.0 200 Sanya China 18.283 109.367 13,535 353
2 746 197 198 288.0 200 Phu Quoc Vietnam 10.018 104.018 14,486 359
2 140 480 481 298.0 200 Bahrain Bahrain 26.117 50.65 10,905 46
3 208 228 248 292.0 100 Cooper Lt South Africa -29.937 31.009 13,524 105
4 906 306 307 300.0 200 Sandspit, BC Canada 53.242 -131.814 4,341 309
5 343 486 487 287.5 200 Porto Santo Madeira 33.067 -16.35 5,372 78
6 946 344 345 299.0 200 Rigolet, NL Canada 54.25 -58.5 2,126 34
7 907 304 305 320.0 200 Richmond, BC Canada 49.114 -123.183 3,755 302
11 643 686 687 309.0 200 Ken Saki Japan 35.142 139.685 10,885 330
11 645 690 691 320.0 200 Nagoya Japan 35.042 136.858 11,010 333
15 871 172 173 300.0 100 Appleton, WA United States 45.792 -121.332 3,639 296
16 828 246 247 301.0 100 Angleton, TX United States 29.301 -95.484 2,048 241
30 918 310 311 286.0 200 Wiarton, ON Canada 44.75 -81.117 658 330
57 886 272 273 287.0 100 Fort Stevens, OR United States 46.208 -123.96 3,836 297
102 936 332 333 319.0 200 Point Escuminac, NB Canada 47.075 -64.8 1,277 46
132 881 262 263 302.0 100 Point Loma, CA United States 32.677 -117.25 3,668 271
135 816 032 033 304.0 100 Aransas Pass, TX United States 27.842 -97.065 2,271 241
153 927 316 317 309.0 200 Lauzon, QC Canada 46.821 -71.165 919 29
209 919 308 309 306.0 200 Cardinal, ON Canada 44.783 -75.417 579 12
531 940 338 339 315.0 200 Cape Race, NL Canada 46.661 -53.075 2,075 60
938 937 330 331 298.0 200 Hartlen Point, NS Canada 44.583 -63.45 1,236 60
969 934 336 337 307.0 200 Fox Island, NS Canada 45.361 -61.097 1,440 59
2278 972 901 902 302.0 200 Miraflores Panama 8.993 -79.585 3,425 185
2440 836 112 113 292.0 200 Cheboygan, MI United States 45.656 -84.475 903 320
2863 814 028 029 293.0 200 English Turn, LA United States 29.886 -89.947 1,609 231
3545 809 018 019 289.0 100 Cape Canaveral, FL United States 28.467 -80.554 1,292 196
4282 935 334 335 312.0 200 Western Head, NS Canada 43.993 -64.67 1,122 61
6710 830 100 101 296.0 100 Wisconsin, Point WI United States 46.708 -92.025 1,446 308
7406 944 342 343 310.0 200 Cape Norman, NL Canada 51.509 -55.831 2,090 44
7449 869 168 169 290.0 200 Louisville, KY United States 38.018 -85.31 747 258
11308 839 118 119 322.0 100 Youngstown, NY United States 43.239 -78.972 428 337
15096 862 154 155 322.0 200 St Louis, MO United States 38.619 -89.764 1,110 268
18161 864 158 159 317.0 200 St Paul [Alma], MN United States 44.306 -91.906 1,335 297
19159 925 320 321 313.0 200 Moise, QC Canada 50.202 -66.119 1,443 32
19303 939 326 327 295.0 200 Partridge Island, NB Canada 45.239 -66.056 1,084 52
21903 865 160 161 320.0 200 Millers Ferry, AL United States 32.095 -87.397 1,264 231
22117 831 102 103 298.0 100 Upper Keweenaw, MI United States 47.233 -88.628 1,258 316
25284 806 012 013 289.0 100 Driver, VA United States 36.963 -76.562 306 174
27487 778 192 193 292.0 100 Kensington, SC United States 33.491 -79.349 723 198
27520 929 312 313 296.0 200 St Jean Richelieu, QC Canada 45.324 -73.317 693 24
28046 803 006 007 293.0 100 Moriches, NY United States 40.794 -72.756 376 70
28112 827 244 245 312.0 200 Tampa, FL United States 27.85 -82.543 1,415 203
33278 771 196 197 294.0 100 New Bern, NC United States 35.181 -77.059 503 181
34492 866 162 163 299.0 200 Sallisaw, OK United States 35.369 -94.817 1,644 259
35540 808 016 017 314.0 200 Card Sound, FL United States 25.442 -80.452 1,619 193
35785 942 340 341 288.0 200 Cape Ray, NL Canada 47.636 -59.241 1,670 52
39166 926 318 319 300.0 200 Riviere du Loop, QC Canada 47.762 -69.606 1,072 31
39356 799 044 045 290.0 200 Penobscot, ME United States 44.453 -68.776 856 49
41172 863 156 157 311.0 200 Rock Island IL United States 42.02 -90.231 1,145 287
42580 838 116 117 319.0 200 Detroit, MI United States 42.306 -83.103 592 301
52227 792 136 137 297.0 200 Bobo, MS United States 34.125 -90.696 1,368 247
52374 777 218 219 304.0 200 Mequon, WI United States 43.202 -88.066 1,004 296
54353 870 170 171 309.0 200 Reedy Point, DE United States 39.569 -75.572 119 97
54362 772 198 199 306.0 200 Acushnet, MA United States 41.749 -70.889 559 64
54966 804 008 009 286.0 200 Sandy Hook, NJ United States 40.475 -74.02 264 70
55392 847 058 059 301.0 200 Annapolis, MD United States 39.018 -76.61 81 159
55514 844 094 095 324.0 200 Hudson Falls, NY United States 43.272 -73.542 488 34
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Ignoring the obviously bogus decodes, and just looking at the weaker stations (those with less than 10000 decodes) we have:
Normal decoding:
1 906 306 307 300.0 200 Sandspit, BC Canada 53.242 -131.814 4,341 309
1 888 276 277 302.0 100 Whidbey Island, WA United States 48.322 -122.706 3,723 300
1 343 486 487 287.5 200 Porto Santo Madeira 33.067 -16.35 5,372 78
1 764 210 211 314.0 200 Lincoln, CA United States 38.855 -121.361 3,784 283
1 505 785 815 313.0 200 Utsira Lt Norway 59.312 4.876 5,867 39
3 907 304 305 320.0 200 Richmond, BC Canada 49.114 -123.183 3,755 302
4 946 344 345 299.0 200 Rigolet, NL Canada 54.25 -58.5 2,126 34
16 828 246 247 301.0 100 Angleton, TX United States 29.301 -95.484 2,048 241
21 871 172 173 300.0 100 Appleton, WA United States 45.792 -121.332 3,639 296
29 918 310 311 286.0 200 Wiarton, ON Canada 44.75 -81.117 658 330
58 886 272 273 287.0 100 Fort Stevens, OR United States 46.208 -123.96 3,836 297
95 936 332 333 319.0 200 Point Escuminac, NB Canada 47.075 -64.8 1,277 46
131 927 316 317 309.0 200 Lauzon, QC Canada 46.821 -71.165 919 29
138 816 032 033 304.0 100 Aransas Pass, TX United States 27.842 -97.065 2,271 241
139 881 262 263 302.0 100 Point Loma, CA United States 32.677 -117.25 3,668 271
199 919 308 309 306.0 200 Cardinal, ON Canada 44.783 -75.417 579 12
502 940 338 339 315.0 200 Cape Race, NL Canada 46.661 -53.075 2,075 60
921 937 330 331 298.0 200 Hartlen Point, NS Canada 44.583 -63.45 1,236 60
957 934 336 337 307.0 200 Fox Island, NS Canada 45.361 -61.097 1,440 59
2188 972 901 902 302.0 200 Miraflores Panama 8.993 -79.585 3,425 185
2449 836 112 113 292.0 200 Cheboygan, MI United States 45.656 -84.475 903 320
2879 814 028 029 293.0 200 English Turn, LA United States 29.886 -89.947 1,609 231
4008 809 018 019 289.0 100 Cape Canaveral, FL United States 28.467 -80.554 1,292 196
4149 935 334 335 312.0 200 Western Head, NS Canada 43.993 -64.67 1,122 61
7193 944 342 343 310.0 200 Cape Norman, NL Canada 51.509 -55.831 2,090 44
7225 830 100 101 296.0 100 Wisconsin, Point WI United States 46.708 -92.025 1,446 308
7350 869 168 169 290.0 200 Louisville, KY United States 38.018 -85.31 747 258
Intense decoding:
1 895 290 291 298.0 100 Potato Point, AK Alaska 61.061 -146.706 5,175 321
1 518 797 827 309.5 200 Fruholmen Lt Norway 71.101 23.989 6,244 23
1 364 528 001 291.0 100 Cabo Salou Spain 41.05 1.167 6,381 61
1 764 210 211 314.0 200 Lincoln, CA United States 38.855 -121.361 3,784 283
1 362 524 525 293.0 100 Mahon, Menorca Balearics 39.867 4.3 6,677 61
1 505 785 815 313.0 200 Utsira Lt Norway 59.312 4.876 5,867 39
4 906 306 307 300.0 200 Sandspit, BC Canada 53.242 -131.814 4,341 309
5 343 486 487 287.5 200 Porto Santo Madeira 33.067 -16.35 5,372 78
6 946 344 345 299.0 200 Rigolet, NL Canada 54.25 -58.5 2,126 34
7 907 304 305 320.0 200 Richmond, BC Canada 49.114 -123.183 3,755 302
15 871 172 173 300.0 100 Appleton, WA United States 45.792 -121.332 3,639 296
16 828 246 247 301.0 100 Angleton, TX United States 29.301 -95.484 2,048 241
30 918 310 311 286.0 200 Wiarton, ON Canada 44.75 -81.117 658 330
57 886 272 273 287.0 100 Fort Stevens, OR United States 46.208 -123.96 3,836 297
102 936 332 333 319.0 200 Point Escuminac, NB Canada 47.075 -64.8 1,277 46
132 881 262 263 302.0 100 Point Loma, CA United States 32.677 -117.25 3,668 271
135 816 032 033 304.0 100 Aransas Pass, TX United States 27.842 -97.065 2,271 241
153 927 316 317 309.0 200 Lauzon, QC Canada 46.821 -71.165 919 29
209 919 308 309 306.0 200 Cardinal, ON Canada 44.783 -75.417 579 12
531 940 338 339 315.0 200 Cape Race, NL Canada 46.661 -53.075 2,075 60
938 937 330 331 298.0 200 Hartlen Point, NS Canada 44.583 -63.45 1,236 60
969 934 336 337 307.0 200 Fox Island, NS Canada 45.361 -61.097 1,440 59
2278 972 901 902 302.0 200 Miraflores Panama 8.993 -79.585 3,425 185
2440 836 112 113 292.0 200 Cheboygan, MI United States 45.656 -84.475 903 320
2863 814 028 029 293.0 200 English Turn, LA United States 29.886 -89.947 1,609 231
3545 809 018 019 289.0 100 Cape Canaveral, FL United States 28.467 -80.554 1,292 196
4282 935 334 335 312.0 200 Western Head, NS Canada 43.993 -64.67 1,122 61
6710 830 100 101 296.0 100 Wisconsin, Point WI United States 46.708 -92.025 1,446 308
7406 944 342 343 310.0 200 Cape Norman, NL Canada 51.509 -55.831 2,090 44
7449 869 168 169 290.0 200 Louisville, KY United States 38.018 -85.31 747 258
In general it seems to help (other than Appleton, WA for some reason). But it runs about 5x slower.
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Can you also add in logging on what frequency was found? Would like to know how accurate it is and if its drifty.
I realize that may add an enormous amount of entries for various freqs, but maybe do some statistical analysis on what it should be on, vs what you've found (min, max, mean, std dev, et al).
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Can you also add in logging on what frequency was found? Would like to know how accurate it is and if its drifty.
I realize that may add an enormous amount of entries for various freqs, but maybe do some statistical analysis on what it should be on, vs what you've found (min, max, mean, std dev, et al).
It would be tricky, due to how data is stored and passed between the shared library and the main app. One thing I could do (maybe) is add an option so that each time there's a decode, the app spits out a line of text to a file, with info about the logging. If we made the fields tab delimited, we could always append another field later on, if we think of something else we want to keep track of.
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For now, I think a text file would be fine. Then we can see how valuable that data is. If not, then not a lot of time invested.
Also need a way to tie the entry to the decode file. If the timestamps were unique, that's easy, but could have several decodes per second.