A few days ago we posted about the successful launch and deployment of the latest Russian Meteor M2-3 weather satellite. The satellite is currently actively transmitting LRPT weather images.
Over on his YouTube channel, "saveitforparts" has uploaded a video showing how he received images from the new satellite using his RTL-SDR. His method involves first recording the signal pass on a Raspberry Pi with rtl_fm, and then passing that wav file into SatDump for decoding and image generation.
We note that it is also possible to directly live decode the pass using SatDump, however a Raspberry Pi may be a little too slow to run the GUI version of SatDump. Instead you could use rtl_tcp on the Pi and run SatDump on a networked PC, or simply run the RTL-SDR and SatDump on the PC or a more powerful device like an Orange Pi 5.
Ultimately he experiences some unresolved problems with the decoding process, but is able to end up with a decent image.
Grabbing Images From New Russian Satellite (Meteor M2-3)
If you weren't already aware, KrakenSDR is our 5-channel coherent radio based on RTL-SDRs, and it can be used for applications like radio direction finding. KrakenSDR is in stock and can be purchased from CrowdSupply or Mouser. More information is also available on our website at krakenrf.com.
In this video we are using a KrakenSDR to hunt for the location of a low power FM transmitter (LPFM) station at 106.7 MHz. These low power FM transmitters are legal as unlicensed transmitters as long as they operate under certain restrictions, the main one being that they transmit at under 1 watt EIRP. LPFM stations are typically operated by local communities or niche radio stations.
Because they are unlicensed, there is no official record and their location doesn't show up in the radio spectrum management database. A requirement of LPFM is that the station broadcast the contact information of the owners regularly, but it can be difficult to locate non-compliant stations that don't do this. But the KrakenSDR makes finding them easy.
The array is 45cm in radius, which is about the maximum that my RAV4 car roof can fit. Some of the antennas sit on a slight curve on the roof, but this appears to have negligible effect. The spacing factor is about 0.19 (optimal is 0.5 - a much larger radius), but even 0.19 is sufficient to find the transmitter fairly easily.
Meteor-M satellites are Russian owned weather imaging satellites that are in polar orbit. They transmit images to earth in the LRPT format at 137 MHz, making them almost as easy to receive as the older NOAA APT satellites. Unfortunately all prior Meteor M satellites have suffered an early ending or partial ending to their mission from technical faults or micro-meteorite collisions.
However, on June 27th 2023 the latest Meteor M2-3 satellite was successfully launched on a Soyuz-2 and has been reported to be already transmitting LRPT images of the earth.
Soyuz-2 Launch of Meteor M2-3 and 42 Cubesats
To receive images from the Meteor M2-3 satellite you will need an appropriate 137 MHz satellite antenna such as a v-dipole, Turnstile or QFH. An RTL-SDR or any similar SDR can be used as the receiver.
These days, the easiest software to use to receive Meteor M2-3 is probably SatDump, whose Windows and Android binary releases can be downloaded from the GitHub Releases page. Linux users can follow the build guide in the SatDump Readme. We note that we've found the SatDump GUI to run well on an Orange Pi 5, which makes this a good portable solution too.
To determine when the satellite is over your location you can use satellite tracking software such as Gpredict on Linux and Mac, or Orbitron on Windows. (For Orbitron, remember to run the software as Administrator, and to update the TLEs so that the Meteor M2-3 weather.txt TLE tracking data is downloaded).
Over on Twitter we've already seen various Tweets about successful reception.
1st try w/ 137 MHz LRPT from the new METEOR-M N2-3 1500utc. So nice to have a higher resolution weather sat back on VHF! Images from I/Q replay in SatDump (https://t.co/A7V0MeqeGE) pic.twitter.com/OMs1zjpKb4
Second pass of the newly launched Meteor-M 2-3
This time all worked like a charm and the picture is superb. I tried dual band to compare both LRPT in 137.900 and HRPT in 1700. Although decoded shown picture is from the HRPT stream.
@aang254, the author of SatDump has also noted that he is working on finalizing projections for Meteor M2-3 and this should be ready to use in SatDump shortly.
METEOR-M 2-3 is active, and I have added initial support including projections in SatDump already.
We also note that a Meteor Demodulator has also now just been added to SDR++.
The OQPSK mode has been added to the #Meteor demodulator to decode Meteor M N2-3. Enable it when receiving said satellite. It will be available for download in a few minutes when the nightly build is done building.
Note that some more tuning will be done in the coming days.#SDRpic.twitter.com/DB307Q5ObD
Another interesting fact is that along with Meteor M2-3 the UmKA cubesat was launched will transmit astronomical images at 2.4 GHz. To receive this, you will most likely need a 2.4 GHz WiFi dish, and also a motorized tracking system to track the satellite as it fly's overhead. Decoding of this is already supported in SatDump according to the programmer.
METEOR-M 2-3 is launching tomorrow, and with it UmKA that @HRPTEgor worked on.
It will transmit astronomical imagery on amateur bands 2.4Ghz. As such, I have added support for it in SatDump just now :-)
Thank you to the team from DXing.org for submitting their video where they compare the DAB decoding performance of SDRAngel and Welle.io using an RTL-SDR Blog V3 dongle.
Digital Audio Broadcast (DAB) is a digital replacement for analog broadcast FM. It provides high quality digital audio at the expense of higher cost receivers, and possibly greater difficulty with reception in weak or challenging RF environments. DAB is mostly only used in Europe and Asia Pacific regions, and is not found in the USA. SDRAngel and Welle.io are both RTL-SDR compatible programs with DAB decoding capabilities. Both can run on Android, PC, MacOS and Linux devices.
In their tests they find that the Welle.io DAB decoder works perfectly without issues, however the SDRAngel DAB decoder struggles and has difficulty with decoding. Given that Welle.io is a dedicated DAB decoder, and SDRAngel is a multipurpose tool this could be expected. But we are unsure what is wrong with the DAB implementation in SDRAngel.
The team note that the test was carried out in Sofia, Bulgaria, Europe, using a Serbian DAB+ signal from Yastrebac, with a distance of 175km.
Test android apps with DAB+ signal Welle.io vs. SDRangel, receiver rtl-sdr v.3
Back in March of this year we posted about an OpenWebRX fork called OpenWebRX+, which adds multiple built-in and ready to use decoders such as SSTV, AIS, CW and RTTY. OpenWebRX+ is a fork of the OpenWebRX project which is now officially maintained by DD5JFK.
Since our last post OpenWebRX+ has progressed in development further, and now includes a HFDL decoder via dumphfdl, various ISM band equipment decoders via rtl_433, FLEX pager decoding via multimon-ng, and a SELCALL decoder has also been added. Many other improvements and changes to the software have also been added, and the full changelog can be viewed here.
OpenWebRX+ is software for Linux. If you want to install OpenWebRX+, an easy path is to use the ready to use Raspberry Pi 4 image available on the releases page, or to use their PPA.
SSTV Image received by the luarvique fork of OpenWebRX. Credit: Neil Howard
In his latest video Matt from the TechMinds YouTube channel has shown how it's possible to detect the RF echoes of meteors falling in the earths atmosphere which a software defined radio.
The concept is relatively straightforward. Meteors falling in the atmosphere generate an RF reflective ionized trail, which is highly reflective to RF. In the UK where Matt lives, the Sherwood Observatory of the Mansfield and Sutton Astronomical Society (MSAS) have set up a meteor detection beacon "GB3MBA" which transmits an 80W CW signal at 50.408 MHz.
When tuned to this frequency with an SDRplay RSPdx SDR, Matt shows how the shifted reflections of meteors can be seen as blips around the beacon's carrier frequency. What is also seen are reflections from aircraft which show up as longer doppler shifted lines. Matt notes that if you live within 200km of the beacon a simple dipole antenna is sufficient, however any further might require an antenna system with more gain like a Moxon or Yagi.
We note that in Europe a similar beacon called the GRAVES space radar in France which operates at 143.050 MHz can be used.
Over on his blog Chris Laplante has written up a post showing how he was able to reverse engineer his wirelessly controlled adjustable "TEMPUR-Contour Elite Breeze" bed. Originally the bed did have an Android App for smartphone control, however it was never updated since 2014 and so it no longer works on his modern Google Pixel device. So in order to have it controllable by his home automation system Chris decided to reverse engineer the wireless signal used by the bed's remote control.
He first searched the FCC filing, finding that it transmitted in the ISM band at 433.050 to 434.790 MHz. Then using his HackRF he was able to capture the signal and determine that it used Gaussian frequency shift keying (GFSK) modulation.
The GFSK signal from the Tempur Pedic wireless remote control.
While the HackRF got him this far, he decided to follow a new line of investigation next, instead now using a logic analyzer to probe the SPI bus which talks to an Si4431 RF transceiver on the remote control. From this he was able to determine the important properties of the signal such as the frequency, data rate, frequency deviation, channel mapping and packet structure.
With all this information Chris was in the end able to create a product called "Tempur Bridge" that he is now selling on Tindie. It consists of an ESP32 WiFi connected microcontroller and a Si4463 RF transceiver chip. With his product Chris is now able to control his bed through a WiFi connection in Home Assistant.
Chris's TemperBridge product for WiFi control of a Tempur Pedic adjustable bed.
Recently Dr. Sean Peters from the Naval Postgraduate School, in Monterey, CA presented an interesting webinar titled "Leveraging Ambient Radio Noise for Passive Radar Sensing of the Terrestrial and Space Environment".
In passive radar, the radio source is typically an existing powerful terrestrial broadcast station, such as FM, DAB, TV or cellular. However, Dr. Peters makes use of more ambient radio noise sources, such as sun noise, and even noise from Jupiter.
By using Sun noise as the source and an Ettus USRP SDR as the receiver, he's been able to measure the ice sheet thickness at the Store glacier in Greenland. Furthermore he's also been able to utilize sun radio noise and radio noise from Jupiter for passive synthetic aperture radar, with the application being planetary remote sensing.
Traditional active radars transmit a powerful electromagnetic pulse and record the echo’s delay time and power to measure target properties of interest, such as range, velocity, and reflectivity. Such observations are critical for investigating current and evolving conditions in extreme environments (i.e., polar regions and planetary missions); however, existing radar systems are resource-intensive in terms of cost, power, mass, and spectrum usage when continuously monitoring large areas of interest. I address this challenge by presenting a novel implementation of passive radar that leverages ambient radio noise sources (instead of transmitting a powerful radio signal) as a low-resource approach for echo detection, ranging, and imaging. Starting from theory, simulation, and lab-bench testing, I first present the results of our passive radar sounding demonstration using the Sun to measure ice sheet thickness at Store Glacier, Greenland. I then project the passive radar’s performance and ability to provide valuable glaciological observations (such as melt rates, bed reflectivity changes, and englacial water storage) across Greenland and Antarctica.
In the second part of my presentation, I then extend this technique to enable passive synthetic aperture radar (SAR) imaging using radio-astronomical noise sources (e.g., the Sun and Jupiter’s radio emissions). I conclude by highlighting applications of this technique to planetary remote sensing, such as (1) using Jupiter’s HF radio emissions alongside an active VHF radar to characterize and correct for Europa’s ionospheric dispersion during a flyby mission and (2) using the Mars Reconnaissance Orbiter (MRO) Shallow Radar (SHARAD) to analyze solar radio burst candidates for Martian passive sounding.
Leveraging Ambient Radio Noise for Passive Radar Sensing of the Terrestrial and Space Environment