Over on YouTube Aaron, creator of DragonOS and the WarDragon kit has uploaded a video showing how he was able to detect drone Remote ID with a Bluetooth dongle and plot it on a TAK map. Remote ID is an RF system regulated in many countries that broadcasts drone information, including GPS position, often over Bluetooth Long Range or Wi-Fi. Note that the Bluetooth dongle is not an SDR, but this story may still be interesting for many readers.

The setup uses Sniffle, which is an open-source Bluetooth sniffer program for TI CC1352/CC26x2 based Bluetooth hardware. Sniffle passes sniffed data packets into SniffleToTak which is open-source software that relays the drone ID packets into a TAK server, which can then be viewed in TAK software like ATAK.

Aaron tests the setup with his DJI drone flying nearby, and shows that the drone is successfully detected and plotted on the TAK map. He also plots the positions of nearby aircraft received via a second ADS-B receiver to show that drones and aircraft can be plotted on the same map.

Earlier this year the Ukrainian company RigExpert released the FobosSDR, and only recently has it become available to most people in the world via global resellers. FobosSDR is an RX-only USB 3.0 device, with a 100 kHz to 6 GHz tuning range, 50 MHz of bandwidth, and 14-bit ADC resolution. Current pricing from US resellers is US$395 and from EU resellers around 495,00 €.

Recently Matt from the TechMinds YouTube channel reviewed the FobosSDR, showing an unboxing, description and review of the hardware. Unfortunately, while the specs on paper look good, Matt notes that the FobosSDR does not perform well.

In the video, Matt starts by testing around the broadcast FM band and shows how the FobosSDR suffers from multiple mirrored signals, even with the gain settings turned right down. He notes that other similarly priced SDRs perform a lot better and that even an RTL-SDR performs better.

Matt then goes on to test the HF bands, noting that there is no gain control available on these bands and that there are also extreme levels of signal mirroring all across the HF band.

Unfortunately, we are starting to see other similar reports about poor performance from the FobosSDR. For example, on arcticdx's blog he also does not recommend the SDR [1][2],

Back in April of this year, we posted about the FobosSDR, an upcoming software defined radio product from the Ukrainian company RigExpert. FobosSDR is an RX-only USB 3.0 device, with a 100 kHz to 6 GHz tuning range, 50 MHz of bandwidth, and 14-bit ADC resolution. At the time of the previous post, FobosSDR was not yet for sale, but now we see that it is available from some European distributors with a price of 495,00 € (~US$544).

Recently 'Radio Bunker' has uploaded a video review of the FobosSDR on his YouTube channel. Note that the video is in Spanish, however, you can use the YouTube auto-translate function.

In the video, Radio Bunker unboxes the FobosSDR and explains its specs and features, then goes on to show how to install the drivers and get it up and running with SDR#. He then shows the SDR receiving some signals like broadcast AM, FM, shortwave, DAB, and WiFi in SDR# with 50 MHz bandwidth.

Over on hackster.io we've seen a story about how maker Jon Dawson designed a self-contained software-defined radio based on the Raspberry Pi Pico that can receive 0 - 30 MHz, with up to 250 kHz of bandwidth. The Raspberry Pi Pico is a microcontroller board based on the Raspberry Pi Foundation's own RP2040 chip.

The Pi Pico Rx's front end consists of a Tayloe Quadrature Sampling Detector (QSD) mixer which makes use of the PIO (Programmable Input/Output) feature on the RP2040. The circuit also has an encoder knob for tuning and a small OLED screen.

Jon had originally created the Pi Pico Rx on a custom PCB, however, his latest work brings the cost down by showing that it can just as easily be implemented on a breadboard with through-hole components.

The full writeup can be found on Jon's blog "101 Things", as can the open source firmware. He has also uploaded a YouTube video explaining and demonstrating the project which we've embedded below.

Recently on the Tech Minds YouTube channel, Matt uploaded a video explaining how to set up and use the Radioberry HF SDR Transceiver Pi Hat. The Radioberry is an HF SDR transceiver based on the AD9866 chip. It has an operating frequency between 0 - 30 MHz, a 12-bit ADC, a maximum bandwidth of up to 384 kHz, and one RX and one TX channel. It is designed as a 'Pi hat' which means that it needs to be connected and sit on top of a Raspberry Pi single-board computer.

In his video Matt shows how to set up the Radioberry Raspberry Pi software. The process begins with installing the Raspbian OS, logging into SSH, and running the Radioberry installation script. He then shows how to connect to the Radioberry over a local network using SDR-Console V3. Later he shows how to install the pihpsdr software which gives the Radioberry a desktop control app that can be used with a LCD screen connected to the Raspberry Pi.

Matt goes on to show how he was also able to use the Radioberry TX function to make WSPR contacts across Europe from with his home location in the UK, despite its very low 150 mW output power.

In one of his recent videos, Matt from the Tech Minds YouTube channel reviews the SV4401A Vector Network Analyzer (VNA).  A VNA is a powerful tool that can be used for analyzing and tuning antennas, as well as other RF components such as filters and cables.

Typically we recommend the NanoVNA V2 and Nano V2 Plus 4 as low-cost VNA's that most hobbyist users will be happy with. However, the SV4401A comes with a much larger 7-inch touch screen, a nicer UI, built-in signal generator, and large frequency range spanning from 50 kHz - 4400 MHz. The price is similar to that of the Nano V2 Plus4, coming in at US$322, versus $299 for the NanoVNA V2 Plus4.

In one of his latest videos Matt from the Tech Minds YouTube channel tests out the RX888 MK2 software defined radio at HF frequencies. Matt notes that while the bandwidth of this SDR is limited to 10 MHz at VHF/UHF, you can actually use it in direct sampling mode to achieve a massive bandwidth of 64 MHz, allowing you to receive the entire HF band at simultaneously.  

In his video, Matt uses SDR-Console V3 and he shows the entire HF band being received at once. He also shows the SDR-Console V3 matrix bands organizer, which allows you to create multiple windows of zoomed-in spectrum. That combined with the multi-receiver feature could allow you to have multiple audio outputs for digital decoding across the HF band.

Back in 2019 we posted about the release of Artemis 3, an open-source multi-platform program that makes searching through the Signal Identification Wiki offline possible and easy to do.

Recently Artemis 4 has been released which is an entire rewrite of the code, resulting in some substantial improvements, and paving the way for future features like machine learning based identification. Author Marco Dalla Tiezza writes:

• Artemis was initially designed to provide an offline solution for consulting the library of signals provided by the community on sigidwiki, but the database was formerly a simple .csv with all its limitations. Now the database is a proper relational sqlite which is much easier handled and offers many other possibilities like: additional fields (for example, each frequency of a signal can contain a description and this is true for every single parameter), faster db operations (for example, filtering signals is done by a simple query), increased extensibility due to the fact that new fields/parameters can be introduced in the future or by the user itself.

• The only searchable database with Artemis 3 was the Sigid wiki database.Now, with Artemis 4, users can create their own custom databases, enter an arbitrary number of signals and parameters, attach documents or any useful information, and export it by sharing it with their friends.

• The documentation has been completely revised to be as clear as possible and to be able to take the user from installation to advanced use of the program by giving instructions on how they can contribute to the project. DOCUMENTATION
  

• As usual, the program provides a real-time interface to be able to track space weather in near real-time, but now this module is more focused on RF propagation such as meteor scatter, EME, sporadic E, aurora spots, DRAP, aurora forecasts and many more (we are actively adding useful descriptors).

• Artemis 4 now relies on the PySide 6 graphics framework, which not only allows for a modern and newer, user-customizable GUI but also allows for less use of third-party libraries to run the program.
  

• Given the flexibility and especially the modularity of the new software, it is very likely that signal analysis functions will be introduced in the future (such as automatic recognition of signals via machine learning/neural network or simpler ones like FFT for obtaining ACF from an audio file, etc.)

• The homepage of the project (https://www.aresvalley.com) as been updated as well and there you can see some screenshots or directly download the software to give it a try.

If you weren't aware, the Signal Identification Wiki (sigidwiki) is our sister site, which we started a few years ago to collect and catalog various types of signals that an SDR user might see and hear on the airwaves. The idea is that a user could search the database to learn about and identify unknown signals. Over time it has grown significantly, now over 500 known signals with both waterfall images and sound samples available in the database. We have since handed over the operation of the Wiki to the community, with Carl Colena taking on the lead.

Thank you to creators Sergey and Andrew who have submitted news about their upcoming software defined radio called 'xMASS SDR'. xMASS will be a SDR with 8 RX and 8 TX channels, with a max sample rate of 60 MSPS per 8 channels, or 100 MSPS per 4 channels, and a frequency range of 30 - 3800 MHz.

The board comes in a modular PCIe form factor, with 4x FPGAs, and GPS/PPS clock sync input. The system is designed in mind for 4G/5G applications but should be useful for other applications too.

xMASS SDR will be crowd-funded on CrowdSupply, and they note that they expect to launch the campaign soon. So if you are interested, sign up for email updates on their CrowdSupply page.

Sergey and Andrew write:

We’re creators (Sergey Kostanbaev and Anrew Avtushenko) of the M.2 uSDR board that we successfully crowdsourced a year ago. Now we want to share our new invention called xMASS SDR, a modular, high-performance MIMO transceiver. It has 8 RX and 8 TX channels that can be synchronized for directional finding, beamforming and more applications. Each SDR module, called xSDR, is based on the LMS7002M chip and can deliver 2 RX and 2 TX channels. Like uSDR, xSDR shares the same form factor and M.2 pinout and both use the same open-source software and gateware stack.

xMASS SDR is ideal for 4G/5G but can be interesting among academic, industrial and advanced hobbyists.