Over the last few months Lucas Teske (author of the Open Satellite Project) has been working on a piece of software called "SegDSP". The idea appears to create a web GUI based SDR receiver for SpyServer streams which can be used to create a cloud of channel demodulators, essentially segmenting the DSP computation burden over multiple computers.
SpyServer is a SDR server application that is compatible with Airspy products and RTL-SDRs. It allows you to connect to these SDRs remotely over a network or internet connection. The SDR server computer sends the radio IQ data over the network allowing you to perform processing remotely. A major advantage of SpyServer compared to other SDR server applications is that it only sends the raw IQ data for the portion of the spectrum that you're interested in which can save a lot of bandwidth.
One key application that Lucas envisions for SegDSP is using it with cloud clusters of single board computers (SBC) like the Raspberry Pi 3. The philosophy is that there will be specific roles for each SBC machine. For example you might have some SDR machines running SpyServers, some processing machines for demodulating and decoding multiple channels, and a storage machine for recording data. Then you can dynamically spawn / despawn workers when needed (for example only spawning a machine when a LEO satellite with data to decode passes over).
SegDSP development is still in the early stages, and appears to only have the web GUI set up at the moment with a few demodulators. But keep an eye on his Twitter @lucasteske for updates too. Lucas also did a talk at the last CyberSpectrum meetup. His talk can be found at 1:30:00 in the recording.
The idea behind the article is to introduce people to SDR from a shortwave listening point of view, so high performance HF SDRs like the Airspy HF+, Elad FDM-S2 and WinRadio Excalibur are discussed. Thomas notes that these SDRs can perform as well as traditional DX-grade receivers that can cost two to three times more. He also explains what advantages SDR's bring to the shortwave radio listening hobby. This may be a good article to show those still using older hardware radios that haven't yet converted to the SDR world.
The article is currently part one of a three part series, with parts two and three to be released in October and November.
Thanks to Steve K2GOG of The Hudson Valley Digital Network (HVDN) for submitting his post on how to create a wireless display for Pi-Star. Pi-Star is a pre-built Raspberry Pi image for amateur radio users experimenting with digital voice communications like D-STAR and DMR. They write that it can be used for applications such as a "single mode hotspot running simplex providing you with access to the increasing number of Digital Voice networks, [or a] public duplex multimode repeater".
Pi-Star is compatible with serial based LED displays with built in GUIs like the Nextion. The displays are usually connected directly to the Raspberry Pi, but Steve wanted to use the display remotely. To do this he used a simple and inexpensive 70cm band HC-12 wireless serial port adapter. With the wireless adapters connected to the Pi he was able to see the pulses in SDR# via his RTL-SDR to confirm that the wireless serial signal was being sent. He then connected the second wireless adapter to the Nextion display via a few diodes to drop the voltage, and was able to get the display updating as if it was connected directly.
In the post Steve mentions that HVDN are also giving away an HC-12 and RTL-SDR to the first person to submit some progress with this idea.
Microp11, the programmer of Scytale-C a standalone Inmarsat decoder has just released a new Inmarsat decoder SDR# plugin. The plugin is currently in the "pre-alpha" stages, so is still missing some functionality and may be buggy. However, it does appear to be functional at this point in time. It can be used with RTL-SDRs, and any other SDR# compatible SDR including units running on remote SpyServers. Microp11 writes:
I ran it with SDR# version v1.0.0.1761.
If it crashes you SDR# I apologize in advance.
The auto-tracking (default on) will alter your SDR# frequency and follow the signal’s CF. When the SNR is very low, please disable it and manually tune the SDR# to try to get the CF as close to 2000 as possible.The demodulator still has plenty ideas of its own.
Use USB mode with 4000 Hz bandwidth.
For now the interface is missing the usual scatter plots.
UDP Address and UDP Port are for sending the decoded frames to the Scytale-C UI.
Offset and CF are the difference from zero error and the CF frequency of the demodulated BPSK signal.
Tx and SYM are the transmitted over UDP frames and SYM is showing the number of demodulated symbols.
A bunch of libraries are attached as extra files. Please be gentle and accept the package as it. Will clean-up in the future.
Use in conjunction with the Scytale-C UI from the archive: “x64-UI1.6-Decoder1.4.zip” (link below)
The magic line is included in the archive: “SDRSharp.ScytaleC-1.0-alpha.zip”
Japan has a strong RTL-SDR scene, with a few small Japanese companies and individuals (including Nobu) selling custom RTL-SDR products on their local Amazon store. Products such as upconverters, galvanic isolators, LNAs, filters, cooling products and more are available. Back in 2015 we reviewed some of these products in a post available here. Since then we've found continued use in particular with the galvanic isolator which helps reduce noise from the computer and nearby electronics at HF frequencies.
Some Custom Japanese RTL-SDR/RF Products available for International Shipping on Amazon.co.jp
There are two options for sale, the US$480 xA4 version and the US$720 xA9 version. The differences between the two appear to be entirely in the FPGA, with the more expensive version having an FPGA that contains many more logic elements which means that more DSP hardware can be synthesized on it. The RF transceiver chip used is the AD9361, which is the chip used on most high end SDRs like USRP's.
The bladeRF 2.0 micro is the next-generation 2x2 MIMO, 47MHz to 6GHz frequency range, off-the-shelf USB 3.0 Software Defined Radio (SDR) that is easy and affordable for students and RF enthusiasts to explore wireless communications, yet provides a powerful waveform development platform expected by industry professionals.
Support is available for Linux, macOS, and Windows. The bladeRF libraries, utilities, firmware, and platform HDL are released under open source licenses, and schematics are available online. The FPGA and USB 3.0 peripheral controller are programmable using vendor-supplied tools and SDKs that are available online, free of charge.
The bladeRF 2.0 micro features support for: GNU Radio via gr-osmosdr, Pothos via SoapySDR, SDRange, SDR Console, SDR # via sdrsharp-bladeRF, YateBTS, OpenAirInterface, srsUE & srsLTE, MathWorks MATLAB® & Simulink® via libbladeRF bindings.
NooElec has just released their new "SAWbird" GOES LNA for sale. This is an LNA and filter combination designed to help receive GOES weather satellite images. On the PCB is a 1688 MHz SAW filter and a low noise amplifier. It can be powered with 3V - 5.5V connected directly or via bias tee. The SAWbird is currently available on Amazon and their store for US$34.95. They also have a version for Inmarsat and Iridium, so make sure you choose the correct one.
GOES 15/16/17 are geosynchronous weather satellites that beam high resolution weather images and data. In particular they send beautiful 'full disk' images which show one side of the entire earth. As GOES satellites are in a geosynchronous orbit, the satellite is in the same position in the sky all the time, so no tracking hardware is required and images can be constantly pulled down throughout the day without having to wait for a satellite to pass over.
However, compared to the more familiar and easier to receive low earth orbit satellites such as NOAA APT and Meteor M2 LRPT, geosynchronous satellites like GOES are quite a bit further away, and transmit at 1.7 GHz. So to receive the signal you'll need a dish antenna that you can accurately point, a good low noise figure LNA and possibly a filter. So setting up a receiver is a bit more difficult when compared to receivers for NOAA and Meteor satellites. The SAWbird should help however, by providing a ready to use LNA+Filter combination.
Over the past few months several testers have already received engineering samples of the SAWbird and have been successful at receiving GOES images. From the results of several experimenters, it appears to be possible to use a cheap 2.4 GHz WiFi grid antenna with some minor modifications as a GOES satellite antenna. Get one with at least a one meter long width and bend the feed as described here or here to tune reception for the 1.7 GHz GOES frequency. Pieter Noordhuis has also shown that it's possible to use an RTL-SDR to receive GOES images, so an entire GOES system can be built on a budget.
NooElec SAWbird LNA + Filter for GOES reception.GOES Full Disk Image of the Earth
Over on GitHub an interesting project that involves using an ultrasound transducer and RTL-SDR to create a low cost 2D ultrasound imager has been uploaded. Ultrasound imagers transmit acoustic sound waves with a transducer at frequencies between 1 - 5 MHz, and then listens for the audio reflections from objects in the audio waves path. This technique is commonly used in the medical field for imaging inside the body without using damaging ionizing radiation like with x-rays.
The project by wlmeng11 is based on the open un0rick hardware, which is an open source ultrasound imager. wlmeng11's idea is to simplify and lower the cost of the un0rick hardware by replacing some expensive components like the FPGA and ADC with a computer and RTL-SDR. The simplified hardware is called "SimpleRick" and PCB and firmware files are also available on GitHub.
The rtl_ultrasound setup
Regarding his choice to use SDR and RTL-SDR he writes:
Why SDR?
The analog signal produced by a B-mode ultrasound (ie. 2D imaging) is essentially an Amplitude Modulated (AM) signal. The signal's envelope (ie. amplitude) corresponds to boundary information in the physical media, and the signal's carrier frequency is equal to the resonant frequency of the transducer.
Most ultrasound systems take one of two approaches for data acquistion:
Direct sampling of the ultrasound signal: This method preserves the original signal in the time domain, accomodates any transducer frequency, and offers the best flexibility for post-processing and analysis. Both amplitude and phase information can be extracted the signal, so it is useful for both B-mode and Doppler mode imaging. However, this method requires a high sample rate ADC, as well as high bandwidth and storage for the digital data.
Envelope detection with analog hardware: Perform Amplitude Demodulation (typically with a diode-based rectifier and low pass filter) to yield an envelope signal, then acquire the envelope signal at a lower sample rate. This method reduces the bandwidth and storage requirements for the digital data, but there are a number of drawbacks:
Unless the low pass filter is adjustable, this method cannot accommodate different transducer frequencies.
The non-linearity of the diode may produce harmonic distortion.
All phase information in the signal is lost, rendering it useless for Doppler mode imaging.
It has been demonstrated by Peyton et al that quadrature sampling can be used to reduce bandwidth requirements in an ultrasound imaging system.
It turns out that quadrature modulation is essential to Software Defined Radio (SDR) because any type of amplitude modulation, frequency modulation, phase modulation, or combination of these can be expressed as a special case of quadrature modulation. Therefore, many of the software and hardware techniques used in SDR can be applied to ultrasound imaging.
Why RTL-SDR?
The RTL2832U chip in the RTL-SDR takes a hybrid approach for data acquisition. It employs a high sample rate ADC (28.8 Msps), followed by a software-configurable Digital Down Converter (DDC) that produces IQ data at a lower sample rate (up to 2.56 Msps), thus reducing bandwidth and storage requirements. We can then perform envelope detection in software.
Plus, the RTL-SDR is really cheap (under $25 on Amazon in the United States)! As such, there is a lot of software support and a large community for the RTL-SDR.
With a few software tweaks, it should be possible to substitute the RTL-SDR with a more expensive SDR (eg. AirSpy HF+, LimeSDR) for use cases that require better ADC resolution and SNR.
Some of his test results are available in his August 21 writeup. His test involves a pseudo-anechoic chamber with some steel balls to reflect the ultrasound wave. The ultrasound transducer is swept through the chamber using a servo. The results so far have been successful in reliably and repeatedly resolving imaging on objects that are about 1 cm in size.
rtl_ultrasound results
If you're interested in the combination of acoustic transducers and SDRs, then this previous post shows using a piezo to detect ultrasound echolocation sounds from bats.
