DGPS Logs 10-11 Dec 2016

[ChrisSmolinski]

Nothing from Europe last night at all. I did, however, get good reception from the west, including the rare-here Pigeon Point, CA. The definite decodes are at the bottom of this posting, but first, something interesting:

5        746  000  132  298.0 200  Pulau Satumu (Raffles)         Singapore            1.165    103.746  15,471 359
5        669  000  738  298.0 200  Soh                            South Korea          34.096   125.1    11,503 341


These are all decodes from the same station, that was sending the same TX ID, 000. I would write this off as just being a bunch of corrupted messages, but look at the timestamps:
Sunday, December 11, 2016 10:01:47
Sunday, December 11, 2016 10:01:53
Sunday, December 11, 2016 10:02:16
Sunday, December 11, 2016 10:02:23
Sunday, December 11, 2016 10:04:33


Singapore and South Korea got displayed because they both have 000 entries for one the transmit IDs, which seems to be incorrect, probably some artifact from the app I used to convert the DGPS station list PDF file to text.

Would anyone like to volunteer to help double check the text file against the PDF, to remove all the errors?

It is interesting how these five decodes all occurred at about the same time. I wonder what station it was? The decodes were received at a time that I was not receiving Hartlen Point, NS, btw.

And now the "good" decodes:

Count    ID   ref1 ref2 kHz   Baud City                           Country              Lat      Lon      km     Deg
4        828  246  247  301.0 100  Angleton, TX                   United States        29.301   -95.484  2,048  241
5        883  266  267  287.0 100  Pigeon Point, CA               United States        37.189   -122.394 3,925  281
20       816  032  033  304.0 100  Aransas Pass, TX               United States        27.842   -97.065  2,271  241
29       972  901  902  302.0 200  Miraflores                     Panama               8.993    -79.585  3,425  185
120      918  310  311  286.0 200  Wiarton, ON                    Canada               44.75    -81.117  658    330
122      886  272  273  287.0 100  Fort Stevens, OR               United States        46.208   -123.96  3,836  297
134      919  308  309  306.0 200  Cardinal, ON                   Canada               44.783   -75.417  579    12  
275      871  172  173  300.0 100  Appleton, WA                   United States        45.792   -121.332 3,639  296
414      936  332  333  319.0 200  Point Escuminac, NB            Canada               47.075   -64.8    1,277  46  
444      764  210  211  314.0 200  Lincoln, CA                    United States        38.855   -121.361 3,784  283
861      927  316  317  309.0 200  Lauzon, QC                     Canada               46.821   -71.165  919    29  
925      881  262  263  302.0 100  Point Loma, CA                 United States        32.677   -117.25  3,668  271
1012     937  330  331  298.0 200  Hartlen Point, NS              Canada               44.583   -63.45   1,236  60  
1145     809  018  019  289.0 100  Cape Canaveral, FL             United States        28.467   -80.554  1,292  196
1240     814  028  029  293.0 200  English Turn, LA               United States        29.886   -89.947  1,609  231
1880     836  112  113  292.0 200  Cheboygan, MI                  United States        45.656   -84.475  903    320
4161     934  336  337  307.0 200  Fox Island, NS                 Canada               45.361   -61.097  1,440  59  
4627     940  338  339  315.0 200  Cape Race, NL                  Canada               46.661   -53.075  2,075  60  
5102     830  100  101  296.0 100  Wisconsin, Point WI            United States        46.708   -92.025  1,446  308
5711     839  118  119  322.0 100  Youngstown, NY                 United States        43.239   -78.972  428    337
7505     935  334  335  312.0 200  Western Head, NS               Canada               43.993   -64.67   1,122  61  
10172    944  342  343  310.0 200  Cape Norman, NL                Canada               51.509   -55.831  2,090  44  
21150    831  102  103  298.0 100  Upper Keweenaw, MI             United States        47.233   -88.628  1,258  316
21401    864  158  159  317.0 200  St Paul [Alma], MN             United States        44.306   -91.906  1,335  297
26439    925  320  321  313.0 200  Moise, QC                      Canada               50.202   -66.119  1,443  32  
27541    778  192  193  292.0 100  Kensington, SC                 United States        33.491   -79.349  723    198
27567    806  012  013  289.0 100  Driver, VA                     United States        36.963   -76.562  306    174
29083    827  244  245  312.0 200  Tampa, FL                      United States        27.85    -82.543  1,415  203
29450    929  312  313  296.0 200  St Jean Richelieu, QC          Canada               45.324   -73.317  693    24  
29817    803  006  007  293.0 100  Moriches, NY                   United States        40.794   -72.756  376    70  
30764    939  326  327  295.0 200  Partridge Island, NB           Canada               45.239   -66.056  1,084  52  
31094    862  154  155  322.0 200  St Louis, MO                   United States        38.619   -89.764  1,110  268
32250    771  196  197  294.0 100  New Bern, NC                   United States        35.181   -77.059  503    181
34305    942  340  341  288.0 200  Cape Ray, NL                   Canada               47.636   -59.241  1,670  52  
35034    865  160  161  320.0 200  Millers Ferry, AL              United States        32.095   -87.397  1,264  231
35742    799  044  045  290.0 200  Penobscot, ME                  United States        44.453   -68.776  856    49  
35996    926  318  319  300.0 200  Riviere du Loop, QC            Canada               47.762   -69.606  1,072  31  
37637    866  162  163  299.0 200  Sallisaw, OK                   United States        35.369   -94.817  1,644  259
43661    844  094  095  324.0 200  Hudson Falls, NY               United States        43.272   -73.542  488    34  
44030    808  016  017  314.0 200  Card Sound, FL                 United States        25.442   -80.452  1,619  193
48700    870  170  171  309.0 200  Reedy Point, DE                United States        39.569   -75.572  119    97  
50095    838  116  117  319.0 200  Detroit, MI                    United States        42.306   -83.103  592    301
50182    863  156  157  311.0 200  Rock Island IL                 United States        42.02    -90.231  1,145  287
51370    792  136  137  297.0 200  Bobo, MS                       United States        34.125   -90.696  1,368  247
51652    772  198  199  306.0 200  Acushnet, MA                   United States        41.749   -70.889  559    64  
52119    777  218  219  304.0 200  Mequon, WI                     United States        43.202   -88.066  1,004  296
52256    804  008  009  286.0 200  Sandy Hook, NJ                 United States        40.475   -74.02   264    70  
52609    847  058  059  301.0 200  Annapolis, MD                  United States        39.018   -76.61   81     159

[skeezix]

I've gone through your list once formatting it to prepare it for importing into a DB. However, I didn't verify the codes of the stations. I'll do that and see how it compares.

Since these things shouldn't change very often, doing it manually isn't a big deal. Now if we have 1000 stations that would come & go weekly/monthly...


Thinking more about those two with 000, that's 000 for the reference station. Since it successfully decoded (mulitple times), 000 was sent by the broadcast site. Why? Misconfiguration, something is broken, or this is newly online and they're still setting up the reference station. Or