Very good conditions last night. I was amazed when a week or so ago I got a dozen or two decodes from Madeira. Last night I got 229. Also respectable numbers from the various west coast stations.
I did get 1-3 decodes from stations in Alaska, Japan, Australia, etc. They’re not listed here as that is too speculative, and quite possibly just bad decodes. But conditions seem to be improving as we move into winter, with longer nights, and less static from thunderstorms. The K and DST indices were also better last night.
I used an experimental version of Amalgamated DGPS last night, it adds one additional step - it varies the demodulation frequency from 25 Hz below nominal to 25 Hz above, in 5 Hz steps, so try and account for transmitters being off frequency. I do see anywhere from 10-25% more decodes for the weaker stations using this (I also ran the exact same I/Q files through ADGPS again, decoding normally, for a fair comparison). Many more decodes for the 684 UNID station, 14 vs 4, however. Once you get to the bottom of the list, with the every strong stations, the improvement, if any, is more on the order of 1%. So I may make this an option in the program. Note that it does substantially increase the CPU usage, and I find it takes about 5 times as long to process a file. Still faster than real time, but only by a factor or 2 or 3 now.
Count ID ref1 ref2 kHz Baud City Country Lat Lon km Deg
12 888 276 277 302.0 100 Whidbey Island, WA United States 48.322 -122.706 3,723 300
14 684 684 684 325.0 100 UNID100 United States 46.917 -103.272 2,263 299
16 883 266 267 287.0 100 Pigeon Point, CA United States 37.189 -122.394 3,925 281
19 918 310 311 286.0 200 Wiarton, ON Canada 44.75 -81.117 658 330
23 885 270 271 292.0 100 Cape Mendocino, CA United States 40.447 -124.405 3,989 287
41 936 332 333 319.0 200 Point Escuminac, NB Canada 47.075 -64.8 1,277 46
83 836 112 113 292.0 200 Cheboygan, MI United States 45.656 -84.475 903 320
86 816 032 033 304.0 100 Aransas Pass, TX United States 27.842 -97.065 2,271 241
180 907 304 305 320.0 200 Richmond, BC Canada 49.114 -123.183 3,755 302
229 343 486 487 287.5 200 Porto Santo Madeira 33.067 -16.35 5,372 78
268 828 246 247 301.0 100 Angleton, TX United States 29.301 -95.484 2,048 241
298 814 028 029 293.0 200 English Turn, LA United States 29.886 -89.947 1,609 231
369 919 308 309 306.0 200 Cardinal, ON Canada 44.783 -75.417 579 12
493 886 272 273 287.0 100 Fort Stevens, OR United States 46.208 -123.96 3,836 297
1049 927 316 317 309.0 200 Lauzon, QC Canada 46.821 -71.165 919 29
1270 809 018 019 289.0 100 Cape Canaveral, FL United States 28.467 -80.554 1,292 196
1290 871 172 173 300.0 100 Appleton, WA United States 45.792 -121.332 3,639 296
1317 972 901 902 302.0 200 Miraflores Panama 8.993 -79.585 3,425 185
1374 881 262 263 302.0 100 Point Loma, CA United States 32.677 -117.25 3,668 271
2018 764 210 211 314.0 200 Lincoln, CA United States 38.855 -121.361 3,784 283
2326 934 336 337 307.0 200 Fox Island, NS Canada 45.361 -61.097 1,440 59
2694 830 100 101 296.0 100 Wisconsin, Point WI United States 46.708 -92.025 1,446 308
3681 937 330 331 298.0 200 Hartlen Point, NS Canada 44.583 -63.45 1,236 60
4596 940 338 339 315.0 200 Cape Race, NL Canada 46.661 -53.075 2,075 60
5512 839 118 119 322.0 100 Youngstown, NY United States 43.239 -78.972 428 337
7675 935 334 335 312.0 200 Western Head, NS Canada 43.993 -64.67 1,122 61
11498 944 342 343 310.0 200 Cape Norman, NL Canada 51.509 -55.831 2,090 44
13808 925 320 321 313.0 200 Moise, QC Canada 50.202 -66.119 1,443 32
13951 831 102 103 298.0 100 Upper Keweenaw, MI United States 47.233 -88.628 1,258 316
15240 864 158 159 317.0 200 St Paul [Alma], MN United States 44.306 -91.906 1,335 297
16370 869 168 169 290.0 200 Louisville, KY United States 38.018 -85.31 747 258
19625 799 044 045 290.0 200 Penobscot, ME United States 44.453 -68.776 856 49
20012 939 326 327 295.0 200 Partridge Island, NB Canada 45.239 -66.056 1,084 52
21399 926 318 319 300.0 200 Riviere du Loop, QC Canada 47.762 -69.606 1,072 31
25193 942 340 341 288.0 200 Cape Ray, NL Canada 47.636 -59.241 1,670 52
26177 865 160 161 320.0 200 Millers Ferry, AL United States 32.095 -87.397 1,264 231
26675 827 244 245 312.0 200 Tampa, FL United States 27.85 -82.543 1,415 203
26861 806 012 013 289.0 100 Driver, VA United States 36.963 -76.562 306 174
27442 866 162 163 299.0 200 Sallisaw, OK United States 35.369 -94.817 1,644 259
28180 778 192 193 292.0 100 Kensington, SC United States 33.491 -79.349 723 198
29332 771 196 197 294.0 100 New Bern, NC United States 35.181 -77.059 503 181
29703 803 006 007 293.0 100 Moriches, NY United States 40.794 -72.756 376 70
32104 862 154 155 322.0 200 St Louis, MO United States 38.619 -89.764 1,110 268
33128 929 312 313 296.0 200 St Jean Richelieu, QC Canada 45.324 -73.317 693 24
36125 808 016 017 314.0 200 Card Sound, FL United States 25.442 -80.452 1,619 193
38667 863 156 157 311.0 200 Rock Island IL United States 42.02 -90.231 1,145 287
41291 777 218 219 304.0 200 Mequon, WI United States 43.202 -88.066 1,004 296
41429 792 136 137 297.0 200 Bobo, MS United States 34.125 -90.696 1,368 247
44089 870 170 171 309.0 200 Reedy Point, DE United States 39.569 -75.572 119 97
44221 838 116 117 319.0 200 Detroit, MI United States 42.306 -83.103 592 301
45764 772 198 199 306.0 200 Acushnet, MA United States 41.749 -70.889 559 64
46187 847 058 059 301.0 200 Annapolis, MD United States 39.018 -76.61 81 159
47582 804 008 009 286.0 200 Sandy Hook, NJ United States 40.475 -74.02 264 70
47623 844 094 095 324.0 200 Hudson Falls, NY United States 43.272 -73.542 488 34
Topic: DGPS Logs Night of 11 October 2016 (Read 1460 times)