rrobinet

I have attached version 1-1e in which the watchdog daemon purges zombie wav files. I found that on a number of beta test systems the /tmp directory used to store the 2 minute audio sample files was completely filling the partition when the Pi lost contact with the Internet for minutes or hours. So this version fixes that problem and is in all other ways completely backwards compatible.
To upgrade: For safety save away your current kiwiwspr.sh, then *Replace* your current .../kiwiwspr.sh with the attached file.

I have attached version 1-1e in which the watchdog daemon purges zombie wav files. I found that on a number of beta test systems the /tmp directory used to store the 2 minute audio sample files was completely filling the partition when the Pi lost contact with the Internet for minutes or hours. So this version fixes that problem and is in all other ways completely backwards compatible.
To upgrade: For safety save away your current kiwiwspr.sh, then *Replace* your current .../kiwiwspr.sh with the attached file.

You can work around the Kiwi's autowspr CPU limits in both 4 and 8 channel mode by running on a Pi the kiwiwspr.sh script I have just published to the "Problems Solved' forum. I have tested the script on a Pi and it can capture 20+ streams from 3 Kiwis at once and decode and post them using the WSJT-x 1.9.1 'wsprd' application.

The Kiwi's WSPR extension is a marvel and provides a much better view of the WSPR band operation than does WSJT-x.
However the Kiwi is not quite as good as WSJT-x at decoding spots on crowded and/or noisy bands with many low level signals.
The attached script addresses many of the Kiwi's limitations as a WSPR decoder by moving the WSPR signal processing to an external server.
For example, at KPH (http://kphsdr.com/) this script has been simultaneously and reliably decoding 14 WSPR bands from two Kiwis on one Raspberry Pi 3b (not even a 3b+) for several months.
Once installed on the Pi (or other Linux computer) the script runs automatically in the background after power up or reboot.

The benefits over using the Kiwi's internal autowspr decoder extension are:

1) You can decode 8 WSPR bands at once on one Kiwi. The Kiwi can be configured to autowspr 8 bands but its CPU is severely overtaxed and thus very few spots get decoded in that mode.
2) On busy bands even in 4 channel mode the Kiwi CPU runs out of time, in which case kiwiwspr.sh will decode 1.5-3x the number of spots
3) I believe that the Kiwi's autowspr decoder is derived from an older version of 'wsprd', so even on quiet bands kiwiwspr will extract 20% more spots than autowspr
4) My script decodes using the recent 'wsprd' decoder included in the WSJT-x 1.9.1 package and can easily be upgraded to any newer version of 'wsprd'
5) kiwiwspr.sh supports scheduled band changes, so you can spot on 630 and 160M at night and switch those channels to 15M and 10M during the day
Times can be specified as HH:MM or 'sunrise/sunset +- HH::MM'

I have tried to make installation self documenting after you copy it into a directory on your Pi, make it executable (chmod +x kiwiwspr.sh), and execute './kiwiwspr.sh'.
Of course I will be happy to help with installation and debug and am soliciting more beta testers who will inevitably uncover bugs and feature improvements.

Since installing this script KPH has become one of the top spotters in the world and second only to K9AN (with his more favorable central USA QTH) in North America. My hope is that more Kiwi owners will join KPH at the top of the lists.

Many thanks go to John Seamons who provided the extensions to his kiwirecorder.py script upon which kiwiwspr.sh is built.

I have just finished version 0.5d which adds support for a watchdog and scheduled band configuration changes.
It also incorporates many command line changes which I hope make it easier to use.
However it requires changes to the CAPTURE_JOBS[] array in the kwiconfig.conf file and you must add at least one WSPR_SCHEDULE[] entry.
It is running well at 3 sites, but as always save your current kwiwspr.sh and kwiwspr.conf file in case this new version doesn't work for you.
It is a very lightweight program and you can easily spot all 14 LF/MF/HF WSPR bands on a Raspberry Pi
I welcome comments and bug reports