DGPS Logs Oct 30, 2017 UTC 2303 - Oct 31, 2017 UTC 2309 (AFE822x)

[skeezix]

Youngstown in during the day for a short while and a few back from the dead,  fitting for Halloween.

Miraflores? Maybe, but with only one, can't confirm it. Time is decent for San Carlos Centro and on a split channel, but only one, so can't call it good.

Miraflores
Tuesday, October 31, 2017 03:48:15

San Carlos Centro
Tuesday, October 31, 2017 04:37:20


Count    ID   ref1 ref2 kHz   Baud City                           Country              Lat      Lon      km     Deg
1        702  002  001  320.0 200  Horn Island, QD                Australia            -10.598  142.297  13,502 288
1        638  676  677  288.0 200  Sakata                         Japan                38.95    139.833  9,269  321
1        001  001  001  297.5 200  San Carlos Centro              Argentina            -31.967  -60.925  9,168  153
1        001  001  001  286.0 200  Semikarakorsk?                 Russia               47.543   40.876   8,801  29 
1        630  660  661  288.0 200  Kushiro Saki                   Japan                42.976   144.387  8,682  321
700      879  258  259  286.0 100  Upolu Point, Hi                Hawaii               20.257   -155.885 6,285  266
1        972  901  902  302.0 200  Miraflores                     Panama               8.993    -79.585  4,220  157
208      940  338  339  315.0 200  Cape Race, NL                  Canada               46.661   -53.075  3,098  72 
5        944  342  343  310.0 200  Cape Norman, NL                Canada               51.509   -55.831  2,842  62 
2032     942  340  341  288.0 200  Cape Ray, NL                   Canada               47.636   -59.241  2,621  71 
175      885  270  271  292.0 100  Cape Mendocino, CA             United States        40.447   -124.405 2,563  270
163      883  266  267  287.0 100  Pigeon Point, CA               United States        37.189   -122.394 2,561  260
25       909  300  301  309.0 200  Alert Bay, BC                  Canada               50.589   -126.93  2,554  296
1330     808  016  017  314.0 200  Card Sound, FL                 United States        25.442   -80.452  2,468  147
1952     881  262  263  302.0 100  Point Loma, CA                 United States        32.677   -117.25  2,462  244
25392    764  210  211  314.0 200  Lincoln, CA                    United States        38.855   -121.361 2,395  263
5591     886  272  273  287.0 100  Fort Stevens, OR               United States        46.208   -123.96  2,363  284
8540     907  304  305  320.0 200  Richmond, BC                   Canada               49.114   -123.183 2,283  292
654      871  172  173  300.0 100  Appleton, WA                   United States        45.792   -121.332 2,168  282
198      809  018  019  289.0 100  Cape Canaveral, FL             United States        28.467   -80.554  2,162  144
15       939  326  327  295.0 200  Partridge Island, NB           Canada               45.239   -66.056  2,138  80 
41732    827  244  245  312.0 200  Tampa, FL                      United States        27.85    -82.543  2,138  149
25765    799  044  045  290.0 200  Penobscot, ME                  United States        44.453   -68.776  1,942  83 
28036    772  198  199  306.0 200  Acushnet, MA                   United States        41.749   -70.889  1,852  93 
25526    771  196  197  294.0 100  New Bern, NC                   United States        35.181   -77.059  1,765  123
5726     778  192  193  292.0 100  Kensington, SC                 United States        33.491   -79.349  1,759  132
4626     828  246  247  301.0 100  Angleton, TX                   United States        29.301   -95.484  1,756  187
2976     803  006  007  293.0 100  Moriches, NY                   United States        40.794   -72.756  1,743  98 
29295    927  316  317  309.0 200  Lauzon, QC                     Canada               46.821   -71.165  1,729  75 
4035     814  028  029  293.0 200  English Turn, LA               United States        29.886   -89.947  1,709  169
21716    806  012  013  289.0 100  Driver, VA                     United States        36.963   -76.562  1,670  116
13626    804  008  009  286.0 200  Sandy Hook, NJ                 United States        40.475   -74.02   1,659  101
52706    844  094  095  324.0 200  Hudson Falls, NY               United States        43.272   -73.542  1,595  90 
1        870  170  171  309.0 200  Reedy Point, DE                United States        39.569   -75.572  1,585  106
299      929  312  313  296.0 200  St Jean Richelieu, QC          Canada               45.324   -73.317  1,574  82 
30181    847  058  059  301.0 200  Annapolis, MD                  United States        39.018   -76.61   1,538  110
1        865  160  161  320.0 200  Millers Ferry, AL              United States        32.095   -87.397  1,528  158
2136     919  308  309  306.0 200  Cardinal, ON                   Canada               44.783   -75.417  1,417  85 
53165    792  136  137  297.0 200  Bobo, MS                       United States        34.125   -90.696  1,233  168
27011    839  118  119  322.0 100  Youngstown, NY                 United States        43.239   -78.972  1,170  95 
1        869  168  169  290.0 200  Louisville, KY                 United States        38.018   -85.31   1,030  136
5854     918  310  311  286.0 200  Wiarton, ON                    Canada               44.75    -81.117  971    87 
55299    838  116  117  319.0 200  Detroit, MI                    United States        42.306   -83.103  883    106
22615    836  112  113  292.0 200  Cheboygan, MI                  United States        45.656   -84.475  704    81 
103644   777  218  219  304.0 200  Mequon, WI                     United States        43.202   -88.066  474    113
52241    831  102  103  298.0 100  Upper Keweenaw, MI             United States        47.233   -88.628  446    55 
49592    830  100  101  296.0 100  Wisconsin, Point WI            United States        46.708   -92.025  219    30 




CURRENT DGPS ADVISORIES FOR 31 Oct 2017

Site Name    Site Id    BNM #    OUTAGE MESSAGE

SCHEDULED / UNSCHEDULED OUTAGES

Gustavus   892   0372-17   
BROADCAST SITE IS UNUSABLE AS OF 09/24/2017 19:52 Z UNTIL FURTHER NOTICE.

Cape Canaveral   809   0427-17   
BROADCAST SITE WILL BE UNUSABLE FROM 11/06/2017 13:00 Z TO 11/06/2017 23:00 Z.

Cape Canaveral   809   0428-17   
BROADCAST SITE WILL BE UNUSABLE FROM 11/07/2017 13:00 Z TO 11/07/2017 23:00 Z.

Acushnet   772   0403-17   
BROADCAST SITE WILL BE UNUSABLE FROM 11/08/2017 14:00 Z TO 11/08/2017 16:00 Z.

Hudson Falls   844   0373-17   
BROADCAST SITE WILL BE UNUSABLE FROM 11/14/2017 14:00 Z TO 11/14/2017 16:00 Z.

Biorka   890   0423-17   
BROADCAST SITE STATUS IS UNCONFIRMED DUE TO NETWORK OUTAGE AS OF 10/30/2017 19:10 Z UNTIL FURTHER NOTICE.

Point Loma   881   0410-17   
BROADCAST SITE STATUS IS UNCONFIRMED DUE TO NETWORK OUTAGE AS OF 10/19/2017 09:17 Z UNTIL FURTHER NOTICE.

Potato Point   895   0417-17   
BROADCAST SITE IS OPERATING AT REDUCED POWER AS OF 10/26/2017 12:13 Z UNTIL FURTHER NOTICE.


GENERAL INFORMATION

Aransas Pass   816   0375-17   
DGPS BROADCAST SITE WILL PERMANENTLY CEASE BROADCASTING CORRECTIONS ON 20 OCTOBER 2017 AT 1400Z.


CANADIAN DGPS OUTAGES

CURRENT CANADIAN DGPS ADVISORIES FOR 31 Oct 2017

Site Name    Site Id    BNM #    OUTAGE MESSAGE

SCHEDULED / UNSCHEDULED OUTAGES

Pt. Escuminac      2091-17   
BROADCAST SITE IS OFF AIR AS OF 10/12/2017 19:02 Z UNTIL FURTHER NOTICE.



_{AFE822x v2.0 SDR with 43' Wellbrook ALA100LN loop oriented E-W}

[ChrisSmolinski]

I'd like to come up with some sort of a non arbitrary metric for real vs fake. The best I have is two or more decodes in a "short" time period, which I have not really pinned down. Obviously the closer together the better. And the more (over two) the better. Maybe you could come up with some formula to estimate a probability based on the number of decodes and time period. And maybe you could make it somewhat based on reality by estimating the probability of getting decodes due to just noise, or corruption of bits. The chance that what you're seeing is not due to random bits. The random part is probably not that difficult, not sure about the corrupted part. And I think really what we mostly see (fake decodes) is corrupted bits from real stations. But sometimes I also see what appears to be a fake decode purely based on noise, as there is no (likely) station on the same frequency.

[skeezix]

I definitely want to come up with a way too.

There are stations appear where there is no other stations in range (on 0.5 kHz channels), during the day.

I think we still need more information from ADGPS on why it thinks its a fake. Could this simply be a rare bug or race condition that causes these to be incorrect, is it something with chance of randomness, and/or other things.

Will definitely have to analyze much more.