Decoding VOA Radiogram Program 102

VOA Radiogram program 102 was the first this year to fall completely after Daylight Saving Time, so all my local times were one hour later than before. There were four articles this week, with the final (very brief) article using Flmsg to display as a web page.

  • Iran’s “Halal” Internet
  • Islamic state’s Facebook alternative goes offline
  • North Koreans import smartphones to store videos
  • Flmsg about AndFlmsg


I decoded three of the VOA Radiogram broadcasts this weekend. Here are the images I decoded this Saturday at 1600 UTC (Saturday at 12:00 PM EDT) on 17860 kHz:

Image 1 from VOA Radiogram on 17860 kHz
Image 2 from VOA Radiogram on 17860 kHz
Image 3 from VOA Radiogram on 17860 kHz
Image 4 from VOA Radiogram on 17860 kHz

Reception of this particular VOA Radiogram broadcast has always been hit or miss in my location. Last week, the 17860 kHz broadcast came in quite well. This week was just the opposite: there was hardly any signal at all.

Kim Andrew Elliot starts every VOA Radiogram program with a brief voice introduction. This week, my reception of 17860 kHz was so poor that I couldn’t understand a single word he said.

A signal this weak would render any normal voice program completely unlistenable, yet I was still able to decode the VOA Radiogram text and images. The images, though recognizable, suffered quite a bit, but there were no more than a dozen errors scattered in the text of the articles. I was very impressed by the robustness of the MFSK32 data format used by these VOA Radiogram broadcasts.

I decoded these images on Sunday at 0230 UTC (Saturday at 10:30 PM EDT) on 5745 kHz:

Image 1 from VOA Radiogram on 5745 kHz

Image 2 from VOA Radiogram on 5745 kHz
Image 3 from VOA Radiogram on 5745 kHz
Image 4 from VOA Radiogram on 5745 kHz

These turned out to be my best image decodes of the week. Reception was quite strong and the text decoded with no errors.

I decoded these images on Sunday at 1930 UTC (Sunday at 3:30 PM EDT) on 15670 kHz:

Image 1 from VOA Radiogram on 15670 kHz
Image 2 from VOA Radiogram on 15670 kHz
Image 3 from VOA Radiogram on 15670 kHz
Image 4 from VOA Radiogram on 15670 kHz

Usually, the 15670 kHz broadcast is the one that decodes best in my location. The signal strength was a bit weaker than usual this weekend, but that wasn’t the main problem. The big problem was heavy interference from garbled audio that was stronger than the VOA Radiogram signal itself.

I couldn’t determine the source of the interference, but it appeared at several points on the shortwave band and was present on multiple radios. The little I could decipher of the audio appeared to be one side of a conversation, so I’m guessing it was a local amateur radio or CB operator with some transmission problems.

The interference did give me a chance to see how the MFSK32 format deals with heavy interference. The answer was quite well: the text decoded with no errors but the images were pretty damaged. Considering that this audio interference would have made any audio broadcast difficult to understand, a text decoding rate of 100% is pretty impressive.

Flmsg experiment

This week’s experiment involved the “Flmsg about AndFlmsg” article, which transmitted as a “plaintext form” designed for decoding by Flmsg (a companion program to Fldigi). It rendered as a web page with no errors.

Flmsg from VOA Radiogram

VOA Radiogram on Android

This week, I also tried decoding the VOA Radiogram broadcast on an Android device using the new AndFlmsg app available here. Since my Android device (a Visual Land Prestige) has no audio-in jack, I used its built-in microphone to listen directly to the speaker output of my ATS–909 on the 5745 kHz broadcast. AndFlmsg worked flawlessly, even decoding the brief Olivia 32–1000 mode at the end of the broadcast. I took this screenshot of the beginning of the VOA Radiogram after it finished decoding:

Screenshot of Flmsg on Android

2 comments on “Decoding VOA Radiogram Program 102

  • Evan Parry wrote:

    Success! I decoded my first VOA Radiogram this week. I don’t claim to completely understand how I did it but I used FLDIGI. I can see the text and It looked like it decoded the pictures but I can’t find them. Still great fun.

  • Evan,

    If you are using Windows, you can find the Fldigi image directory at:

    Of course, you will need to replace USERNAME with your actual username.

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