Over on YouTube VE6EY has uploaded a video that demonstrates spatial filtering (aka beamforming) working in a GNU Radio simulation. This is a technique that can be used with a 2-channel coherent SDR with to nullify local interference. One SDR is connected to an antenna for receiving the distant signal, and the second is connected to a noise probe that is designed to receive only the local noise source.
The demonstration is not performed with real SDRs, but with prerecorded signals, although it still shows the effectiveness of the technique. In the video VE6EY shows switch mode and powerline noise being nulled out from some AM music, and explains through a demo why phase coherence is required.
At 1222 EST on 21 Feb 2018, we posted a new signals challenge! There are *three* different challenges hidden in this signal capture, and the solution to each is a text message. One is on the easier side, and the two others are more advanced. If you believe you have found a solution, DM the answer to @gnuradio on Twitter or e-mail [email protected]!
The first THREE people to solve each of the three challenges will be declared winners. There will be nine winners in total. One person can only win one challenge; if correct solutions are submitted for multiple challenges, the first will count as the win.
The winners will receive honor and glory, plus some awesome GNU Radio stickers!
Live right now is CyberSpectrum #22, currently being held at the GNU Radio Convention in San Diego. Cyberspectrum is an often monthly meetup where SDR enthusiasts come from around the world to share their work. The video will be available offline once the stream is over too. But if watched live you can use the #cyberspectrum hashtag on Twitter, or join the #cyberspectrum on Freenode IRC to discuss the presentations live.
By day, Clayton is a security researcher at ecommerce company Shopify, and by night a GNU Radio enthusiast and amateur radio operator (VE3IRR). He’s worked on projects such as gr-dsd (digital voice), gr-qam (digital television), gr-elster (utility metering), gr-rds (radio data) and sdr-examples. Tonight he’ll tell you about his recent work on HD Radio.
Recently RTL-SDR.com reader ghostop14 wrote in to us and wanted to share his GNU Radio block and tutorial that shows how to get rid of the DC spike in GNU Radio. The DC spike is the annoying spike in the middle of the spectrum that appears no matter where you tune and shows up with almost all SDRs, such as the HackRF used by ghostop14. Software programs like SDRsharp and HDSDR have algorithms in place to filter and remove the DC spike, but until now there was no block that existed for GNU Radio.
It’s your first time with gnuradio and you love your hackrf. You’ve played with receiver software like SDRSharp and audio piping to decode your favorite signal of choice, and now you’re ready to dig deeper and learn more about SDR. Everyone’s talked about gnuradio, so you install it and fire up your first flowgraph. You drop in an osmocom source block and set the device to hackrf, set your sample rate, frequency, and gain then connect it to a frequency sink and hit the button to generate your flowgraph. The ease with which you just built a receiver and the excitement about the possibilities is overwhelming… you can’t wait to hit play.
Then it happens. Right in the middle of your first flowgraph is this huge signal spike that you know is not the signal you want to receive, and as you change the frequency it follows you. What?!? So your first thought is you did something wrong. After all you’re new to gnuradio and you’re sure you’re making a newbie mistake. First you make sure there really isn’t a signal there. You go back to SDRSharp and there’s no spike. Then you swap out your hackrf for your airspy and rtl-sdr dongle, feed that into gnuradio, and there’s still no spike. What’s going on? Why is my favorite SDR that I want to use doing this? What you’ve stumbled on is an artifact of the way SDR radios do IQ sampling. Your first attempts at searching on the problem reveal that it’s called a DC spike and it’s going to appear in the raw IQ data and there’s nothing you can do to stop it. So you go back to your favorite search engine because you can’t be the first person to want to get rid of it and you find that folks say that you have 3 options: 1.) ignore it (yeah not happening. It’s huge and right in the middle of my spectrum!) 2.) Offset tune away from it on your center frequency (which means every flowgraph I make or download I’m going to have to custom change to actually get a clean center frequency signal to make them work. There has to be a better way!), or 3.) filter it out.
I finally had a few hours to look into the problem further and spent the time to search and understand what was happening, and the math behind fixing it. Then researched how others were doing the same thing in their code. Turns out the solution is simple. Since the data represents an alternating RF signal, over time the signal average in a clean signal should be zero (I know I’m oversimplifying it). When there’s the IQ DC spike, that average isn’t zero. So the solution is to calculate a weighted average over ongoing samples and simply subtract it from each future sample. It doesn’t affect the overall quality of the filtered signal, but as long as the spike is on the center frequency, this approach very efficiently gets rid of it. And that was what I was hoping to accomplish.
Over on YouTube the popular Hak5 channel has uploaded a video with several SDR related topics mentioned during Shmoocon 2017 conference.
One fun event talked about in the video was the Shmoocon wireless village SDR contest by Russell Handorf which involved wireless dog shock collars. These are collars usually placed on dogs, that emit a mild electric shock when a button on a wireless remote is pressed. This can help train the dog into better behaviors. Contestants were able to first make recordings of the wireless signals made by the shock collars. Then each contestant strapped a wireless shock collar to their leg and the goal was then to reverse engineer and understand the protocol as quickly as possible, then use that knowledge and a HackRF to shock the other contestants.
Another part of the video discuss GNU Radio reverse engineering with representatives from bastille.net who are wireless IoT security researchers. The video then goes on to interview Micheal Ossmann (creator if the HackRF) who talks a bit about his work in building an infrared (IR) software defined radio. Micheal explains how infrared is essentially just radio at terrahertz frequencies and that many SDR concepts can be applied by using a photodiode sensor. He mentions that there are several IR systems used these days, such as the common remote control, toys, and high bandwidth wireless IR headphones used in car entertainment systems and conferences. The hardware Micheal has created is called “Gladiolus” and is still in development.
Shmoocon 2017: Sniffing IR Signals and More! – Hak5 2120
Over the Horizon radar is typically used at HF frequencies and is used to detect targets from hundreds to thousands of kilometers away from the radar station. On HF they are very common and can be easily heard as continuous or bursty buzzing sounds.
Over on his blog Daniel Estevez writes how he was inspired by Balint Seebers GRCon16 talk to perform his own investigations into HF OTH radar. Daniel first analyzed a recorded IQ signal of a presumed Russian radar in Audacity, and noticed that it consisted of 15 kHz wide pulses repeated at 50 Hz intervals. He then used GNU Radio and the Quadrature Demod block to FM demodulate the pulse and see how the frequency changes over time. From this he was able to determine the original transmitted radar pulse characteristics
Next he performs pulse compression, which is essentially a cross correlation of the received pulse and transmitted pulse which was determined from the characteristics found earlier. The signal being received at Daniels location is distorted, because it will arrive from multiple paths, since the signal will bounce of multiple layers of the ionosphere. With this pulse compression technique Daniel is able to determine the time of flight for the different multi-path components of the received pulse. By graphing all the results over time he was able to obtain this image illustrating relative propagation distance over time.
RTL-SDR.com reader Syed Ghazanfar Ali Shah Bukhari from the Frequency Allocation Board in Pakistan recently emailed us to let us know a trick he's found which lets you combine the bandwidths of two HackRF software defined radios in GNU Radio. Syed's program is based on Oliver's flowgraph that we posted previously, which was used to combine the bandwidth of two RTL-SDR dongles.
Syed also sent us the GRC file to share which we've uploaded here.
I have used grc flow graph of Oliver as mentioned in the link :- https://www.rtl-sdr.com/combining-the-bandwidth-of-two-rtl-sdr-dongles-in-gnu-radio and modified it to be used with 2 HackRF Ones. I also shifted the two bandwidths inward by 1 MHz instead of 0.2 MHz to make a smooth continuation for a 38 MHz spectrum. Unfortunately one of my HackRF Ones has its RF Amp burnt up so I adjusted its IF and BB gain to have same noise floor as that of other HackRF One. It's really awesome. I am sending you the diagram and grc file. The attached image is showing complete GSM900 downlink spectrum (38 MHz) in my area with active 2G and 3G signals.
September 2018 Update:
An rtl-sdr user with nick JAAP had some query pertaining to calculation of center frequency of each HackRF. The values I used were a bit erroneous. If you the previous flow graph I sent you, the center frequencies for both HackRFs are same in the SDR source box. That should be different for both with a 20 MHz difference between the two. Some spectrums started repeating themselves on those values. I have improved the flowgraph using variables and equations to remove the logical bug. I have added a slider for bandwidth cropping that can be used for test pupose only to understand the concept behind the frequency shifting and cropping of spectrum of both HackRFs. I have attached the new grc file and the image. Gain values can be adjusted as per user requirement and sensitivity of your own SDRs. I am working on grc which will show a spectrum using 5 rtl-sdrs and two hackRFs thus combining BWs to give a span of 50 plus MHz.
Back in September the GNU Radio 2016 (GRCon16) conference was held. GRCon16 is an annual conference centered around the GNU Radio Project and community, and is one of the premier software defined radio industry events. GNU Radio is an open source digital signals processing (DSP) tool which is often used with SDR radios.
One of our favorite talks from the conference is Micheal Ossmanns talk on his idea to create a low cost $150 RX/TX radio. Micheal Ossmann is the creator of the HackRF which is a $299 USD RX/TX capable SDR. It was one of the first affordable general purpose wide frequency TX capable SDRs. Micheal also mentions his other projects including Neapolitan which will be an add on for the HackRF which will enable full-duplex communications and Marizpan which will essentially be a single board Linux SDR using the HackRF circuit.
GRCon16 – Low-Cost SDR Hardware, Mike Ossmann
Another is Balints talk on “Hacking the Wireless World” where he does an overview of various signals that can be received and analyzed or decoded with an SDR. Some applications he discusses include Aviation, RDS Traffic Management Channel, Radio Direction Finding, OP25, IoT, SATCOM and his work on rebooting the ISEE-3 space probe.
GRCon16 – Hacking the Wireless World, Balint Seeber