Tagged: rtl2832u

Software defined radio talks from Defcon 23

Defcon is a yearly conference that focuses on computer security and hacking talks. In recent years they have included a “Wireless Village” section that includes talks about all things wireless. This year there were several interesting talks related to Software Defined Radio in some way. Recently some of these talks have been uploaded to YouTube and below we present the ones we have found – let us know if we missed any interesting ones.

Balint Seeber – SIGINT & Blind Signal Analysis w/ GNU Radio & SDR

The workshop will cover many common techniques used to reverse engineer the physical layer of a wireless communications system:

– Blind signal analysis on a signals re-broadcast from a satellite transponder: modulation type, order, symbol rate, error correction,scrambling, differential coding, visualization

– Applying auto-correlation to interesting signals on the HF band: RADAR, OFDM, symbol timing

– Frequency hopping: wide-band, real-time spectrum visualization

All with GNU Radio!

DEF CON 23 - Wireless Village - Balint Seeber - SIGINT & Blind Signal Analysis w/ GNU Radio & SDR

Tim Oshea – GNU Radio Tools for Radio Wrangling/Spectrum Domination

An overview of modern tools available in GNU Radio and the greater GNU Radio ecosystem for building, testing, inspecting and playing with radio system physical layers in gory detail.

DEF CON 23 - Wireless Village - Tim Oshea - GNU Radio Tools for Radio Wrangling/Spectrum Domination

Michael Calabro – Software Defined Radio Performance Trades & Tweaks

This workshop is targeted at new and experienced software defined radio (SDR) operators, developers, and enthusiasts seeking a better end-to-end system understanding, and anyone looking to maximize their SDR’s performance. Commercially available SDRs (e.g. USRPs, RTL-SDRs, BladeRFs, etc) are commonly used to fuzz wireless interfaces, deploy private cellular infrastructure, conduct spectrum surveys, and otherwise interact with a wide variety of custom and commercial devices. This workshop focuses on the key parameters and performance drivers in SDR setup and operation that elevate these common platforms to the level of fidelity required to interact seamlessly with commercial devices and networks.

The workshop will begin by surveying different SDR hardware architectures and summarizing the performance tradespaces of several of SDR applications (e.g. collection/survey/transmit). Then the workshop will break down into three main content focuses:

Understanding SDR Hardware: Breakdown common RF frontend and receiver architectures. Identify and derive key performance parameters, and when they will bound performance. Topics covered will include: Noise figure calculation, internal amplification, Frequency selectivity, external RF chains, and noise sources.

Understanding SDR Platform Objectives: Collection, transmission, surveying, and other applications, each present unique challenges to SDRs and will be limited by different dimensions of SDR processing and/or setup configuration. Topics covered include: real-time processing, host buffering, sampling, guard-intervals, framework selection (GRC vs REDHAWK vs MATLAB vs custom), and frequency and time domain signal representation.

Optimizing and Improving Performance: Now that the hardware and platform trade space have been characterized, how do attendees meet and exceed the performance requirements of their application? We will present specific examples for several common platforms (RTL-SDR and USRP). Topics covered will include clock selection, ADC dynamic range, FPGA/SoC offloading, RFIC configuration, CIC filters, sampling, DC biases, antenna selection & pointing, host buffering / processing, and cost-performance trades.

DEF CON 23 - Wireless Village - Michael Calabro - Software Defined Radio Performance Trades & Tweaks

Karl Koscher – DSP for SDR

The barrier to entry in software-defined radio is now almost non-existent. Wide band, receive-only hardware can be obtained for as little as $10, and tools like gqrx and SDR# make it extremely easy to get started listening to signals. However, there is a steep learning curve graduating from an SDR script kiddie to developing your own SDR tools. In this talk, I’ll cover the basic theory behind software-defined radios digital signal processing, and digital communication, including I/Q samples, FIR filters, timing and carrier recovery, and more.

DEF CON 23 - Wireless Village - Karl Koscher - DSP for SDR

In addition to these Wireless Village talks there was also an interesting talk by Samy Kamkar in which explains how he uses SDR in his vehicle security research.

Samy Kamkar – Drive it like you Hacked it: New Attacks and Tools to Wireles

Gary Numan said it best. Cars. They’re everywhere. You can hardly drive down a busy freeway without seeing one. But what about their security?

In this talk I’ll reveal new research and real attacks in the area of wirelessly controlled gates, garages, and cars. Many cars are now controlled from mobile devices over GSM, while even more can be unlocked and ignitions started from wireless keyfobs over RF. All of these are subject to attack with low-cost tools (such as RTL-SDR, GNU Radio, HackRF, Arduino, and even a Mattel toy).

We will investigate how these features work, and of course, how they can be exploited. I will be releasing new tools and vulnerabilities in this area, such as key-space reduction attacks on fixed-codes, advanced “code grabbers” using RF attacks on encrypted and rolling codes, and how to protect yourself against such issues.

By the end of this talk you’ll understand not only how vehicles and the wirelessly-controlled physical access protecting them can be exploited, but also learn about various tools for car and RF research, as well as how to use and build your own inexpensive devices for such investigation.

Ladies and gentlemen, start your engines. And other people’s engines.

Samy Kamkar is a security researcher, best known for creating The MySpace Worm, one of the fastest spreading viruses of all time. He (attempts to) illustrate terrifying vulnerabilities with playfulness, and his exploits have been branded:

“Controversial”, -The Wall Street Journal
“Horrific”, -The New York Times
“Now I want to fill my USB ports up with cement”, -Gizmodo

He’s demonstrated usurping typical hardware for surreptitious means such as with KeySweeper, turning a standard USB wall charger into a covert, wireless keyboard sniffer, and SkyJack, a custom drone which takes over any other nearby drones allowing them to be controlled as a massive zombie swarm. He’s exposed issues around privacy, such as by developing the Evercookie which appeared in a top-secret NSA document revealed by Edward Snowden, exemplifying techniques used by governments and corporations for clandestine web tracking, and has discovered and released research around the illicit GPS and location tracking performed by Apple, Google and Microsoft mobile devices. He continues to produce new research and tools for the public as open source and open hardware.

DEF CON 23 - Samy Kamkar - Drive it like you Hacked it: New Attacks and Tools to Wireles

An online Software Defined Radio training course

We’ve recently found what looks to be a new online video based course that uses the RTL-SDR to teach basic software defined radio topics. The course is not free, it is priced at $29.99, but the first three videos are free. Judging from the first three videos the content appears to be quite basic, but is presented in a very clear way that may be useful for beginners. Currently the lessons include:

  1. Course Overview 

    Welcome to the exciting world of Software Defined Radio. In this video, we’ll discuss what SDR is, and why it’s such a hot button topic right now.

  2. Setting up the environment

    In this module, we’ll setup our environment for development. If you’re already very comfortable with Ubuntu, you might want to just follow the guide below.

  3. Browsing the spectrum 

    In this module, we’ll cut our teeth on GRQX, and learn a little about the radio spectrum.

  4. Signals Intelligence

    In this module, we’ll learn how to find transmissions in the frequency domain, and capture them to disk for offline analysis.

  5. Modulations

    In this module, we’ll learn how to identify two types of basic digital transmissions, and talk a little about the history of radio.

  6. Demodulation – Part 1

    In this module, we’ll practice capturing signals in the wild, identifying the modulation, and demodulating the signal with GNU Radio.

  7. Demodulation – Part 2

    In this module, we’ll learn about clock recovery. And we’ll pull out packets from the garage door remote.

It also appears that they plan to have some live classes in the future.

We note that there are also alternative SDR training courses available such as Micheal Ossmanns lessons at greatscottgadgets.com/sdr.

sdrtrainingonline

rtl_power_fftw: An improved version of rtl_power designed for radio astronomy

As the RTL-SDR’s maximum usable bandwidth is about 2.8 MHz, programs like rtl_power were written to scan over wider bandwidths by quickly hopping between different swaths of the frequency spectrum and then stitching the data together.

Now a new improved version of rtl_power called rtl_power_fftw has recently been developed and released. This version is designed for radio astronomy use, but also overcomes several issues general users may encounter with rtl_power. One of the authors, Klemen wrote in to us with this information:

I would like to tell you about a program we have been developing at Astronomical Society Vega – Ljubljana, namely one for measuring power spectrum with rtl dongles.

It addresses several shortcomings of the rtl_power program shipped with librtlsdr. The most notable is that it uses a much faster FFT algorithm (from the fftw3 library) and separate threads for acquiring data and FFT processing. This means that even the lowly raspberry pi is capable of processing spectra of sizes up to ~1024 bins in real-time (no slower than data acquisition). This enables the user to sample spectrum continuously and more efficiently.

The other benefit is the output format: data is presented in a gnuplot-friendly way, so plotting is simple, and no data is mangled to make an illusion that spectral hopping is not needed: FFT of each frequency hop is output separately, and user can make and informed decision on how to process data – the program stays out of this, to preserve the accuracy of the gathered data.

The program was developed for use in radio astronomy where all these things matter. Code is available on Github:

https://github.com/AD-Vega/rtl-power-fftw

New Mini RTL-SDR Dongle Available from Nooelec

The Nooelec store have recently come out with a new small RTL-SDR model called the Nano 2, which appears to an improved version of the old tiny square dongles. These new ones are sized at 24mm x 21mm x 8mm and come in a new plastic case with vent holes to prevent overheating. They also come with the newer R820T2 tuner chip. This appears to be a good improvement over the older models which were reported to have overheating and thermal frequency drift issues.

These small dongles look to be great for embedded or mobile phone applications that have space restrictions.

The new dongle is currently selling for $24.95 USD + $1.99 shipping.

The Nano 2 with vent holes in the case.
The Nano 2 with vent holes in the case.
The Nano 2 circuit.
The Nano 2 circuit.

Raspberry Pi Docker Images for ADS-B and ACARS with the RTL-SDR

Docker is a Linux based platform which allows you to build and deploy complex applications into a self contained “container” package that contains all the needed applications and dependencies. The container is completely preconfigured to just work as soon as you install the application without the need for any extra configuration.

Over on his blog SysRun has been developing an ADS-B ready docker image for use with the RTL-SDR on a Raspberry Pi embedded computer. His post shows how he prepared and built the docker image on the Pi and how to run the docker image.

In addition he has also uploaded another post showing how to prepare, build and run an ACARS decoding based docker image on the Raspberry Pi.

In the future SysRun also hopes to upload an AIS Docker tutorial.

Raspberry Pi + Docker + RTL-SDR
Raspberry Pi + Docker + RTL-SDR

SpyVerter Upconverter now for sale

The team behind the Airspy software defined radio (as well has the popular SDR# software package) have just released the SpyVerter upconverter for sale. Upconverters shift HF frequencies (0 – 30 MHz) “up” by a fixed amount, giving receivers that can’t tune that low like the RTL-SDR and the Airspy the ability to receive HF signals.

The SpyVerter extends reception all the way down to DC and has a 60 MHz low pass filter. Its main selling point is its H-Mode architecture which provides excellent IIP3 performance. This basically means that strong HF signals are unlikely to cause overloading in the up-conversion stage. The good IIP3 performance should improve HF reception when compared to other upconverters even with lower end SDR’s like the RTL-SDR. The reason is that when hit by strong HF signals many other upconverters will overload in the upconversion mixing stage, before even reaching the SDR, thus requiring the need for attenuators or antennas with less gain.

Another selling point is its good performance down to DC, making it ideal for VLF reception.

SpyVerter is designed for optimal performance with the Airspy and can be powered directly by the Airspy’s bias tee. However, RTL-SDR users can also use the SpyVerter by powering it through the micro USB connector, or by using it with one of our RTL-SDR Blog units with the activatable bias tee. 

The SpyVerter sells for $59 USD and comes in a metal enclosure with three bonus SMA adapters. There is a $9 USD discount for Airspy owners.

At these prices combined with its claimed performance and metal enclosure we now generally recommend the SpyVerter over any other upconverter. The designers of the SpyVerter have sent us a sample unit and we will review it after testing it out over the next few weeks, but our initial tests already show good performance.

The SpyVerter upconverter.
The SpyVerter upconverter.

Using the GPIO Ports on the RTL2832U Chip

The RTL-SDR uses the RTL2832U chip as its ADC and USB interface processing chip. It also has 8 GPIO (General Purpose IO) ports available which are by default unused by the original DVB-T dongle application. However, which the right modifications to the SDR drivers, these GPIO ports can be activated and potentially used for applications such as antenna, filter, pre-amplifier and attenuator switching.

Over on his web site S57UUU has been experimenting with these GPIO ports and has put up a short tutorial/set of notes on how to connect to the ports and how to modify the RTL-SDR drivers to set the state of each pin. You will need basic programming and compilation knowledge to understand how to activate these pins in the drivers, as well as good surface mount soldering skills to be able to connect wires to the pins.

Connecting to the GPIO ports requires good SMT soldering skills.
Connecting to the GPIO ports requires good SMT soldering skills.

Using an RTL-SDR and Broadcast FM Radio RDS Signals to improve WiFi Networking

The performance of WiFi networks can depend heavily on how crowded the WiFi channels are in your area. For example when your neighbours start streaming a movie over their own separate WiFi network, it can cause your own WiFi connection to slow down. This happens because generally separate WiFi networks do not collaborate with one another, and when two packets are sent on the same channel at the same time, they collide causing no packets to get through.

There are several methods that attempt to stop collisions, but none are very efficient because WiFi nodes are not synchronized to one another. If each WiFi node could be synchronized to a common reference time, then avoiding collisions is made easier.

Marcel Flores, Uri Klarman, and Aleksandar Kuzmanovic from Northwestern University have been working on this idea and have come up with a system they have termed Wi-FM which is based on FM RDS signals. Many FM radio stations transmit a digital Radio Data System (RDS) subcarrier on their broadcast frequency. This RDS signal is often used to simply display information on the radio such as the station name and current song playing.

Since each nearby WiFi node should be able to receive the same RDS signal at the exact same time, it can be used as a common synchronization signal. Then once synchronized each WiFi node can listen to the other nodes and work out what their transmit scheduling is like and then optimize their own transmit schedule.

In their prototyping they used an RTL-SDR dongle connected to a PC running GNU Radio. The GNU Radio program decodes the RDS signal and the resulting information is sent to the Linux kernel which handles the WiFi transmit schedule processing.

This story was also covered on Hackaday.

WiFM radio processing path.
WiFM radio processing path.