Over on his blog F4GOH has posted a rather comprehensive tutorial consisting of seven PDF documents showing how he's set up his Raspberry Pi for ham radio and other RF projects. The PDF's essentially form a book that starts with the very basics like preparing an OS for the Pi SD Card, powering on the Pi, finding the IP address and connecting to it with SSH or VNC.
The tutorials move on to installing and using various ham radio programs like Fldigi, WSJT-X , GQRX, GNU Radio, before going on to teach some more Linux concepts. The final two PDF tutorials cover the installation and use of OpenWebRX for remote RTL-SDR use, R2Cloud for decoding weather satellites, and finally Radiosonde Auto RX for decoding radiosonde's on weather balloons.
This is just a reminder that the 2020 GNU Radio Conference will be held online in a few days time starting on September 14 and ending September 18 2020. Viewing the live talks and participation in the discussion forums is free for everyone around the world, however you must register first via their site. The paid $50 workshops are all currently booked however you can go on the waiting list in case more spaces are opened.
GNU Radio Conference (GRCon) is the annual conference for the GNU Radio project & community, and has established itself as one of the premier industry events for Software Radio. It is a week-long conference that includes high-quality technical content and valuable networking opportunities. GRCon is a venue that highlights design, implementation, and theory that has been practically applied in a useful way. GRCon attendees come from a large variety of backgrounds, including industry, academia, government, and hobbyists.
GRCon20 will be held starting September 14, 2020 online as a virtual event. The organizing team is hard at work to create a fun and interactive experience.
Our keynote speakers include: Becky Schoenfeld W1BXY, managing editor of QST magazine, Oona Räisänen [ windytan ] hacker of signals and computer programmer, and Jim St. Leger, Director Open Source, Intel.
With an annual program that has broad appeal, GRCon attracts people new to Software Radio just looking to learn more, experts that want to keep their finger on the pulse & direction of the industry, and seasoned developers ready to show off their latest work.
Titles of the talks scheduled are shown below. The full list of talks, workshops and descriptions can be found here.
Oona Räisänen - Video Decoding Adventure
Introducing OpenCPI as an Infrastructure for GNU Radio and GNU Radio Companion
How Strong is my SDR Signal?
Introducing the Radio Resiliency Competition
Are We Alone? How GNU Radio Can Help Us Find ET
A Conversation with the Ettus Research / NI SDR R&D Team
Enabling Performance Portability of GnuRadio on Heterogeneous Systems
Architecture Update - Marcus Mueller
Becky Schoenfeld - Keeping Ham Radio Alive and Well: ARRL’s Education Initiatives
ESA's OPS-SAT Mission: Powered by GNU Radio
Designing a Narrowband Radar using GNU Radio and Software Defined Radio for Tomography and Indoor Sensing
The De-Swiggification of GNU Radio
Exploring RFNoC with the UHD Python API
Teaching the Principles of Time Delay Spectrometry Ultrasound with GNU Radio
Ultra-cheap SDR Digital Television Transmission: ISDB-T with an osmo-fl2k and an RTL-SDR
Software defined radio based Synthetic Aperture noise and OFDM (WiFi) RADAR mapping
Community Continuous Integration (CI) for GNU Radio
RadEOT: The Radio Education Outreach Tool
Software defined radio based Global Navigation Satellite System real time spoofing detection and cancellation
SDR to GPU Peer-to-Peer Data Streaming for Cognitive Radar and EW Use-Case
Security Analysis of Zigbee Networks with Zigator and GNU Radio
Eric had an inverted L and T3FD antenna set up in his backyard and he wanted to test both at the same time to see which received HF better overall. Rather than relying on subjective 'by ear' measurements he decided to use the digital FT8 mode as his comparison signal. FT8 is quite useful for this purpose as the decoded data includes a calculated signal-to-noise (SNR) reading which is a non subjective measure that can be used for comparisons. It also contains information about the location of the signal which can be used for determining the DX capability of the antenna.
To perform the comparison he used two or our RTL-SDR Blog V3 dongles running in direct sampling mode, and also added an additional low pass filter to prevent excessively strong TV and FM signals from overloading the input. Each antenna is connected to it's own RTL-SDR, and a modified version of GQRX with remote UDP control is used to switch between multiple FT8 frequencies so that multiple bands can be covered in the experiment. WSJT-X is used for decoding the FT8 packets.
After logging SNR values for several days he was able to plot and compare the number of packets received by each antenna, the maximum distance received by each antenna. His results showed that his inverted L antenna was best in both regards. He then performed a relative comparison with the SNR readings and found that the inverted L performed best apart from at 14 MHz, where the T3FD performed better.
In further tests he also compared the antennas on which signal headings they were receiving best from. The results showed that Erics inverted L was receiving best from one direction only, whereas the T3FD received signals from more headings.
Eric's post includes full instructions on the software setup and also Python code which can be used to replicate his experiments. We think that this is a great way to objectively compare two types of antennas.
Antenna directionality measurements via FT8 received headings
Over on his YouTube channel Kalle Hallden has uploaded a video demonstrating how to perform a replay and "rolljam" attack on a wireless car key with an RTL-SDR and Yardstick One. His first experiment is a simple replay attack which involves recording the unlock signal from the car key with the Yardstick One in a place far away from the car so that it is not received, then replaying it close by.
This works well, but Kalle then explains rolling code security and how this would easily thwart any replay attack in the real world. However, he then goes on to explain and demonstrate the "rolljam" technique, which is one known way to get around rolling code security. The demonstrations are obviously not full tutorials, but are just high level overviews of how wireless security can be defeated.
Over on his YouTube channel Tech Minds has uploaded a video showing how it's possible to receive and decode GPS signals with an RTL-SDR. To do this he uses one of our RTL-SDR Blog V3 dongles and a GPS patch antenna which is powered via the bias tee on the dongle.
On the software side he uses GNSS-SDRLIB and RTKLIB to decode the GPS signal. The result of the two programs is your current GPS coordinates which can be plotted on a map. Unfortunately in the video Tech Minds was unable to get the Google Maps display to work, but you can easily type the coordinates into Google maps yourself.
A few days ago we posted about Hayati and others' work in creating a new release of the librtlsdr drivers which implemented some new interesting features. However, at the time of the post there was no GUI for actually making use of the features easily. Now Hayati has released a new rtl_tcp ExtIO interface.
The interface exposes the ability to manually adjust the filtering within the R820T tuner. This is quite useful for managing out of band interference and raising overall dynamic range especially when trying to listen to a narrowband signal. It also exposes decimation controls, tcp connection features like auto reconnect and persistent connection, manual IF gain control, the ability to choose USB vs LSB tuning, and the ability to choose the highest stable sample rate of 2.56 MSPS.
The ExtIO interface is only available for SDR programs that support ExtIO, such as HDSDR. To test the ExtIO, first download and extract the latest librtlsdr release then run rtl_tcp from the command line. Extract and run the new ExtIO dll into the HDSDR folder, then run HDSDR, making sure to select the new dll when it asks on startup. You can then set the desired bandwidth and the matching decimation settings for that bandwidth.
Over on his YouTube channel M Khanfar has put together a tutorial for an interesting idea. The idea is to use an automatic SSH connection to tell your Windows PC to run rtl_tcp whenever you open SDRTouch or RFAnalyzer on your Android device. SDRTouch and RFAnalyzer are both Android based SDR applications and rtl_tcp is a server which allows both apps to connect to a remote RTL-SDR over a network connection.
To set this up, Khanfar first sets up OpenSSH on his Windows PC which allows a secure remote connection to the PC. On his Android device he then installs MacroDroid and RaspController. MacroDroid is an app that help you automate tasks on your Android device, and RaspController is an app designed for remotely controlling a Raspberry Pi, but also works on Windows via the SSH connection. These apps are then setup so that an SSH connection to the Windows PC is automatically opened whenever SDRTouch is run. From within the SSH connection rtl_tcp is then started.
Full text instructions are available in the video description.
Automate MacroDroid with RTL_TCP through OpenSSH under Windows 10
KerberosSDR is our 4-channel phase coherent capable RTL-SDR unit that we previously successfully crowdfunded back in 2018. With a 4-channel phase coherent RTL-SDR interesting applications like radio direction finding, passive radar and beam forming become possible. It can also be used as 4 separate RTL-SDRs for multichannel monitoring. KerberosSDR is currently in stock and available on the Othernet store.
In their experiment they set up both circular and linear antenna arrays for the KerberosSDR, then flew the drone in front of the antenna array while recording the bearings calculated by the KerberosSDR system. The results showed that the KerberosSDR was able to successfully track the drone's bearing with either antenna array, however the linear array produced more accurate results as expected.
We note that a linear array cannot differentiate if an object is in front or behind the array. However, if this knowledge is known it can be used instead of a circular array to get more accurate bearings that are less affected by multipath.
