The ZIFON YT-500 is a pan-tilt tripod designed for mounting small cameras and smart phones. It also comes with an RF based 433 MHz wireless remote control that allows you to remotely control the positioning.
To do this he first used an RTL-SDR and SDR# to record the signals generated by each button press of the remote. He then opens the audio files in Audacity which allows him to inspect the signal's structure and determine some important information such as the preamble + payload timing and ON/OFF pattern.
Knowing this information he was then able to use an Arduino with a 433 MHz transmitter connected to replicate the signal exactly. His post contains the sample code that he used.
Over on the SignalsEverywhere YouTube channel Corrosive from the SignalsEverywhere channel has uploaded a review of our RTL-SDR Blog L-Band Active Patch antenna. Our patch antenna can be used for applications such as Inmarsat, Iridium and GPS reception.
In the video Corrosive shows what the kit comes with, and first demonstrates the antenna working indoors. He also shows how signal SNR can be improved for indoor reception simply by adding a larger ground plane to the back of the antenna and clamping it on with the mounting screw. Later he shows what reception is like outdoors, and shows it being used to decode from STD-C Inmarsat and Iridium signals.
If you're interested in this antenna we also previously posted about TechMinds review video.
It takes decoded ADS-B data via a Virtual Radar Server webpage, so it should be fairly easy to set up together with an RTL-SDR and dump1090 that feeds Virtual Radar Server. The latest version displays a radar screen with decay-like effect, a list of currently detected aircraft, and a pixelated screen of the aircraft image downloaded from the internet.
Over on YouTube user Pablo Sala (KI7OJL) has uploaded a video that shows a neat all-in-one receiver build based on an RTL-SDR. Pablo's build runs on a Pipo x8 Mini PC which is a US$110 PC/tablet that includes a build in LCD touch screen. The build also adds several Arduino powered control knobs for tuning, mode and bank selection, squelch and volume to the base. The knobs directly interface with HDSDR, his chosen software.
The video titles are dated 2017, but the video only seems to have been uploaded recently. Unfortunately we weren't able to find much more information about this build, other than the video.
Homebrew: RTL-SDR Receiver with Arduino-powered knobs on a Pipo X8 Mini PC running HDSDR, May 2017
Talks from this years DEF CON 27 conference which was held back in August are now available on YouTube. DEFCON is a yearly conference that a focuses on information security topics and often includes talks about SDRs and other wireless radio topics too. In particular we wanted to highlight the the DEF CON 27 Wireless Village playlist which contains numerous talks related to wireless, radio and SDRs.
Most talks from the wireless village relate to WiFi, but one talk with some very useful information that we really enjoyed was "Antennas for Surveillance" by Alex Zakhorov.
We will cover the various kinds of antennas available to optimized your SDR radio for different types of spectrum monitoring. We will also explain why RF filters are necessary on most SDR's and when Low Noise Amplifiers help, and when Low Noise Amplifiers hurt reception.
DEF CON 27 Wireless Village - Alex Zakhorov - Antennas for Surveillance
Another interest talk was called "The Ford Hack Raptor Captor video" by Dale Wooden (Woody) where he shows how he used an RTL-SDR and HackRF to hack a Ford car key fob. If you're interested we wrote about the Hak5 videos on this hack in a previous post.
This talk will show flaws with development of security protocols in New Ford key fobs. This will exploit several areas. The ability for a denial of service to the keyfob WITHOUT jamming. How to trick the vehicle into resetting its rolling code count. How to lock, unlock, start, stop, and open the trunk of ford vehicles using a replay attacked after resetting rolling code count. How to find the master access code for Fords keypad to bypass security. This talk will also demonstrate how to reset your key fobs if they are attacked by a deauth attack. We will also demonstrate gnu-radio script to automate RF collection of Ford key fobs. As seen on HAK5 episodes 2523-2525
DEF CON 27 Wireless Village - Woody - The Ford Hack Raptor Captor video
Outside of the Wireless village there were also some interesting SDR topics including this talk titled "SDR Against Smart TVs URL Channel Injection Attacks" by Pedro Cabrera Camara. If you're interested we also wrote about Pedro's work in a previous post.
Software-defined-radio has revolutionized the state of the art in IoT security and especially one of the most widespread devices: Smart TV. This presentation will show in detail the HbbTV platform of Smart TV, to understand and demonstrate two attacks on these televisions using low cost SDR devices: TV channel and HbbTV server impersonation (channel and URL injection). This last attack will allow more sophisticated remote attacks: social engineering, keylogging, crypto-mining, and browser vulnerability assessment.
DEF CON 27 Conference - Pedro Cabrera Camara - SDR Against Smart TVs URL Channel Injection Attacks
KerberosSDR is our experimental 4-Tuner Coherent RTL-SDR product made in collaboration with Othernet. It can be used for applications such as radio direction finding and passive radar. Currently it's available for US$149 on the Othernet store.
The RDF Mapper software allows you to upload bearings from multiple devices distributed around a city to a public RDF server, and view all the bearings on any internet connected PC. This can allow you to quickly triangulate the location of a transmitter.
Normally you would use RDFMapper combined with an RDF42 to upload bearings, but we've written a simple script that can be used to upload bearings generated by a KerberosSDR onto the server. The RDFMapper software can then be used to visualize those bearings.
The script is based on Python, and can run directly on the Pi 3/4 or Tinkerboard that is running the KerberosSDR, or on another PC that can see the KerberosSDR bearing server if you prefer.
Instructions are available on the GitHub page. Simply set unique station names for each of your distributed units, entry your lat/lon and fixed direction bearing. Then on the RDF Mapper software open the 'Web upload/download' tab and add the unique station ID name. All the other tabs for connecting to a GPS and serial port can be ignored, as those are used for the RDF42.
This script will only work for stationary KerberosSDR units as the lat/lon is fixed. If you want to try radio direction finding in a vehicle, we recommend using our Android App for a better experience. If there is interest, we may also add support for the Android app to upload to an RDFMapper server for mobile bearing uploads.
Notes: RDFMapper runs on the system's default browser and it needs to run in either Chrome or Firefox to work. IE does not work. It also appears that Jonathan processes orders manually, so we just want to note that there may be a delay between payment and receiving the software.
The RAPIDS cuSignal project is billed as an ecosystem that makes enabling CUDA GPU acceleration in Python easy. Scipy is a Python library that is filled with many useful digital signal processing (DSP) algorithms. The cuSignal documentation notes that in some cases you can directly port Scipy signal functions over to cuSignal allowing you to leverage GPU acceleration.
In computing, most operations are performed on the CPU (central processing unit). However, GPU's (graphical processing units) have been gaining popularity for general computing as they can perform many more operations in parallel compared to CPUs. This can be used to significantly accelerate DSP code that is commonly used with SDRs.
In particular the developers have already created a notebook containing some examples of how cuSignal can be used with RTL-SDRs to accelerate an FFT graph. There are various other DSP examples in the list of notebooks too. According to the benchmarks in the notebooks, the GPU computation times are indeed much faster. In the benchmarks they appear to be using a high end NVIDIA P100 GPU, but other NVIDIA graphics cards should also show a good speedup.
The cuSignal code is based on CUDA, so for any GPU acceleration code to work you'll need to have an NVIDIA based GPU (like a graphics card) with a Maxwell or newer core.
We note that in the future we'll be investigating how this could be used to speed up the passive radar algorithms that are used in the KerberosSDR. It may also be useful for running DSP code quickly on a $99 NVIDIA Jetson Nano single board computer.
The tutorial starts by showing you how to set up your Amazon AWS credentials and bucket on the Raspberry Pi, and how to host a simple webpage that can be accessed publicly. The second stage shows how to set up the RTL-SDR drivers and wxtoimg which is used to decode the images. Finally, the third stage shows how to create the automation scripts that automatically schedule a decode, and upload images to the AWS bucket.