The RTL-SDR software defined radio can be used to analyze cellular phone GSM signals, using Linux based tools Airprobe and Wireshark. This tutorial shows how I set up these tools for use with the RTL-SDR.

Example – Analysing GSM with RTL-SDR Software Defined Radio

Here is a screenshot and video showing an example of the type of data you can receive. You can see the unencrypted GSM packet information. You will not be able to see any sensitive information like voice or text message data since that part is encrypted. Decryption is not covered in this tutorial.

First, you will need to find out at what frequencies you have GSM signals in your area. For most of the world, the primary GSM band is 900 MHz, in the USA it starts from 850 MHz. If you have an E4000 RTL-SDR, you may also find GSM signals in the 1800 MHz band for most of the world, and 1900 MHz band for the USA. Open up SDRSharp, and scan around the 900 MHz (or 850 MHz) band for a signal that looks like the waterfall image below. This is a non-hopping GSM downlink signal. Using NFM, it will sound something like the example audio provided below. Note down the strongest GSM frequencies you can find.

The rest of the tutorial is performed in Linux and I will assume that you have basic Linux skills in using the terminal. For this tutorial I used Kali Linux in a VMWare session. You can download the VMWare image here, and the free VMWare player from here. Note that virtual box is reported not to work well with the RTL-SDR, as its USB bandwidth capabilities are poor, so VMWare player should be used.

Update: Note that the latest version of Kali Linux comes with GNU Radio pre-installed, which should allow you to skip right to the Install Airprobe stage.

Open up Kali Linux in your VMWare player and login. The default username is root, and the password is toor.

Install GNU Radio

You will need to install GNU Radio first in order to get RTL-SDR to work. An excellent video tutorial showing how to install GNU Radio in Kali Linux can be found in this video shown below. Note that I had to run apt-get update in terminal first, before running the build script, as I got 404 not found errors otherwise. You can also use March Leech’s install script to install the latest version of GNU Radio on any Linux OS. Installation instructions can be found here. I recommend installing from source to get the latest version.

Update: The new version 3.7 GNU Radio is not compatible with AirProbe. You will need to install GNU Radio 3.6. However, neeo from the comments section of this post has created a patch which makes AirProbe compatible with GNU Radio 3.7. To run it, place the patch file in your airprobe folder and then run patch -p1 < zmiana3.patch.

Install Airprobe

Airprobe is the tool that will decode the GSM signal. I used multiple tutorials to get airprobe to install. First from this University of Freiberg tutorial, I used their instructions to ensure that the needed dependencies that airprobe requires were installed.

Install Basic Dependencies

sudo apt-get –y install git-core autoconf automake libtool g++ python-dev swig libpcap0.8-dev

Update: Thanks to shyam jos from the comments section who has let us know that some extra dependencies are required when using the new Kali Linux (1.0.5) for airprobe to compile. If you’ve skipped installing GNURadio because you’re using the new Kali 1.0.5 with SDR tools preinstalled, use the following command to install the extra required dependencies.

 sudo apt-get install gnuradio gnuradio-dev cmake git libboost-all-dev libusb-1.0-0 libusb-1.0-0-dev libfftw3-dev swig python-numpy

Install libosmocore

git clone git://git.osmocom.org/libosmocore.git
cd libosmocore
autoreconf –i
./configure
make
sudo make install
sudo ldconfig

Clone Airprobe

Now, I discovered that the airprobe git repository used in the University tutorial  (berlin.ccc.de) was out of date, and would not compile. From this reddit thread I discovered a more up to date airprobe git repository that does compile.

Clone airprobe using the following git command.

git clone git://git.gnumonks.org/airprobe.git

Now install gsmdecode and gsm-receiver.

Install gsmdecode

cd airprobe/gsmdecode
./bootstrap
./configure
make

Install gsm-receiver

cd airprobe/gsm-receiver
./bootstrap
./configure
make

Testing Airprobe

Now, cd into to the airprobe/gsm-receiver/src/python directory. First we will test Airprobe on a sample GSM cfile. Get the sample cfile which I found from this tutorial by typing into terminal.

cd airprobe/gsm-receiver/src/python
wget ​https://svn.berlin.ccc.de/projects/airprobe/raw-attachment/wiki/DeModulation/capture_941.8M_112.cfile

Note: The tutorial and cfile link is sometimes dead. I have mirrored the cfile on megaupload at this link. Place the cfile in the airprobe/gsm-receiver/src/python folder.

Now open wireshark, by typing wireshark into a second terminal window. Wireshark is already installed in Kali Linux, but may not be in other Linux distributions. Since Airprobe dumps data to a UDP port, we must set Wireshark to listen to this. Under Start in Wireshark, first set the capture interface to lo (loopback), and then press Start. Then in the filter box, type in gsmtap. This will ensure only airprobe GSM data is displayed.

Back in the first terminal that is in the python directory, type in

./go.sh capture_941.8M_112.cfile

If everything installed correctly, you should now be able to see the sample GSM data in wireshark.

Receive a Live Channel

To decode a live channel using RTL-SDR type in terminal

./gsm_receive_rtl.py -s 1e6

A new window will pop up. Tune to a known non-hopping GSM channel that you found earlier using SDRSharp by entering the Center Frequency. Then, click in the middle of the GSM channel in the Wideband Spectrum window. Within a few seconds some GSM data should begin to show constantly in wireshark. Type ./gsm_receive_rtl.py -h for information on more options. The -s flag is used here to set the sample rate to 1.0 MSPS, which seems to work much better than the default of 1.8 MSPS as it seems that there should be only one GSM peak in the wideband spectrum window.

Capturing a cfile with the RTL-SDR (Added: 13/06/13)

I wasn’t able to find a way to use airprobe to capture my own cfile. I did find a way to capture one using ./rtl_sdr and GNU Radio however.

First save a rtl_sdr .bin data file using where -s is the sample rate, -f is the GSM signal frequency and -g is the gain setting. (rtl_sdr is stored in ‘gnuradio-src/rtl-sdr/src’)

./rtl_sdr /tmp/rtl_sdr_capture.bin -s 1.0e6 -f 936.6e6 -g 44.5

Next, download this GNU Radio Companion (GRC) flow graph (scroll all the way down for the link), which will convert the rtl_sdr .bin file into a .cfile. Set the file source to the capture.bin file, and set the file output for a file called capture.cfile which should be located in the ‘airprobe/gsm-receiver/src/python’ folder. Also, make sure that ‘Repeat’ in the File Source block is set to ‘No’.

Now execute the GRC flow graph by clicking on the icon that looks like grey cogs. This will create the capture.cfile. The flow chart will not stop by itself when it’s done, so once the file has been written press the red X icon in GRC to stop the flow chart running.

The capture.cfile can now be used in airprobe. However, to use this cfile, I found that I had to use ./gsm_receive.py, rather than ./go.sh as a custom decimation rate is required. I’m not sure why, but a decimation rate of 64 worked for me, which is set with the -d flag.

./gsm_receive.py -I rtl_sdr_capture.cfile -d 64

Going Further

I have not been able to decode encrypted GSM data myself, but if you are interested in researching this further, here are some useful links. Disclaimer: Only decrypt signals you are legally allowed to (such as from your own cell phone) to avoid breaching privacy.

A Guide by Security Research Labs
GSM Decoding Tutorial by the University of Norwegian Science and Technology
A5 Wiki

A good lecture on this topic is shown below.

If you enjoyed this tutorial you may like our ebook available on Amazon. The Hobbyist’s Guide to the RTL-SDR: Really Cheap Software Defined radio.

The post RTL-SDR Tutorial: Analyzing GSM with Airprobe and Wireshark appeared first on rtl-sdr.com.

YouTube user NeedSec has posted a good tutorial video showing how to use Kalibriate-RTL, a program used to determine the frequency offset error of your RTL-SDR dongle. Every RTL-SDR dongle will have a small frequency error as it is cheaply mass produced and not tested for accuracy.  This frequency error is linear across the spectrum, and can be adjusted in most SDR programs by entering a PPM (parts per million) offset value.

Kalibrate is a Linux program that uses GSM mobile cell phone base stations to determine the PPM offset, by using the GSM signals own frequency correction bursts. See the tutorial video below.

The post How to Calibrate RTL-SDR using Kalibrate-RTL on Linux appeared first on rtl-sdr.com.

A while back we did a small write up on receiving and analyzing cellular GSM signals with the RTL-SDR. Now blogger Domi has taken it further and has done an excellent big write up on his blog showing how to receive, decode, and also decrypt your own cell phone GSM signals with the RTL-SDR.

Domi’s big write up is split into four posts. It starts with an introduction to GSM, then focuses on setting up the environment and required software, then uncovering the TMSI (step to be released later), and then finally shows how to actually receive and decrypt your cell phone data such as voice and SMS messages.

The post Receiving, Decoding and Decrypting GSM Signals with the RTL-SDR appeared first on rtl-sdr.com.

A few days ago we posted about how Domi aka Domonkos Tomcsányi wrote on his blog about decoding and decrypting GSM signals from your own cell phones. Domi also did a talk at the CampZero conference which has now been uploaded to YouTube. His slides can be obtained from this link.

The post Receiving, Decoding and Decrypting GSM with the RTL-SDR : YouTube Talk and Slides appeared first on rtl-sdr.com.

Pytacle, a Linux tool used for automating GSM sniffing has been updated to alpha2, and now supports the RTL-SDR dongle with this update.

According to the website pytacle is

a tool inspired by tentacle. It automates the task of sniffing GSM frames of the air, extracting the key exchange, feeding kraken with the key material and finally decode/decrypt the voice data. All You need is a USRP (or similar – [RTL-SDR]) to capture the GSM band and a kraken instance with the berlin tables (only about 2TB  )

The post Pytacle – A GSM Decoding/Decrypting Tool Now Supports RTL-SDR appeared first on rtl-sdr.com.

The popular YouTube electronics channel Hak5 has uploaded a video showing how they analyzed GSM signals using an RTL-SDR, Wireshark and Airprobe. In their video they use parts of our analyzing GSM tutorial and explain and show visually how to set up all the software.

Using these methods they were able to receive GSM data from a base tower and see various system information.

The post Hak5: Using A RTL-SDR To Learn About The GSM Network Around You appeared first on rtl-sdr.com.

Over a year ago we wrote a tutorial on how to analyze GSM cellular phone signals using a RTL-SDR, a Linux computer with GNU Radio, Wireshark and a GSM decoder called Airprobe. With this combination it is possible to easily decode GSM system messages. Setting up Airprobe is can be difficult as it is unmaintained and incompatible with the new version of GNU Radio without patches.

Now a new software package called gr-gsm has been released on GitHub which seems to be a newer and improved version of Airprobe. The gr-gsm software is also much easier to install, uses the newer GNU Radio 3.7 and seems to decode the system data with much less trouble than Airprobe did. We will soon update our tutorial to use gr-gsm, but the instructions on the GitHub are already quite good. The author of gr-gsm also appears to be actively adding new features to the software as well. The video below shows gr-gsm in action.

The post Sniffing and Analyzing GSM Signals with GR-GSM appeared first on rtl-sdr.com.

Over on YouTube user Osama SH has uploaded a video briefly showing the steps needed to use an RTL-SDR dongle to sniff some SMS text messages and voice calls made from his own phone. This can be done if some encryption data is known about the phone sending the messages, so it cannot be used to listen in on any phone – just ones you have access to. In the video he uses Airprobe and Wireshark to initially sniff the data, and find the information needed to decode the text message. Once through the process he is able to recover the SMS message and some voice audio files.

The post Video showing SMS Texts and Voice Calls being sniffed with an RTL-SDR appeared first on rtl-sdr.com.

The ability to hack some GSM signals has been around for some time now, but the steps to reproduce the hack have been long and difficult to set up. Recently RTL-SDR.com reader Bastien wrote into us to let us know about his recently released project called Topguw. Bastien’s Topguw is a Linux based program that helps piece together all the steps required in the GSM hacking process. Although the steps are simplified, you will still need some knowledge of how GSM works, have installed Airprobe and Kraken, and you’ll also need a 2TB rainbow table which keeps the barrier to this hack still quite high. Bastien writes about his software:

So like I said my software can “crack” SMS and call over GSM network.

How ?

I put quotation marks in crack because my software is not enough to deciphered GSM itself. My software can make some steps of the known-plaintext attack, introduce by Karsten Nohl, and by the way, increase the time to decipher an SMS or call. I’ll not explain here all the steps because they are long and tedious, but there is a lot of work done behind the Gui.

Actually my software can extract Keystream (or try to find some of them) from a capture file of GSM, or by sniffing GSM with a rtl-sdr device. Then you just have to use Kraken to crack the key and you’re able to decipher sms or call.

Why ?

This hack is very interesting! With only a little receiver (rtl-sdr) and some hard-disk capacity (2Tb), everyone can try to hack the GSM. It’s very low cost compare to other hack vector. Moreover the success rate is really great if you guess the Keystream correctly. So when I started to done this with my hands I though -> why don’t try to make something to do this automatically.
This is how Topguw was born.

Topguw, I hope, will sensitize people about risk they take by calling or sending sms with GSM.

My software is currently in beta version but I did run several time and I got good results. Maybe better than something done by hand. But Topguw is made to help people who want to learn the hack. This is why several files are made to help GSM reverse-engineering.

Topguw can be downloaded from GitHub at https://github.com/bastienjalbert/topguw. Bastien has also uploaded a video showing his software in action. If you’re interested in Bastiens YouTube channel as he plans to upload another video soon where he shows himself hacking his own GSM sms/call signals.

Of course remember that hacking into GSM signals is very illegal and if you do this then you must check the legality of doing so in your country and only receive your own messages or messages that are intended for you.

The post Hacking GSM Signals with an RTL-SDR and Topguw appeared first on rtl-sdr.com.

Over on his blog author Simone Margaritelli has added a tutorial that shows how to set up a bladeRF to act as a GSM basestation (cell tower). Having your own GSM basestation allows you to create your own private and free GSM network, or for more malicious illegal users it can allow you to create a system for intercepting peoples calls and data. Simone stresses that it is well known that GSM security is broken (and is probably broken by design), and now it is about time that these flaws were fixed.

In his tutorial he uses a single bladeRF x40 and a Raspberry Pi 3 as the processing hardware. The bladeRF is a $420 transmit and receive capable software defined radio with a tuning range of 300 MHz – 3.8 GHz and 12-bit ADC. He also uses a battery pack which makes the whole thing portable. The software used is Yate and YateBTS which is open source GSM basestation software. Installation as shown in the tutorial is as simple as doing a git clone, running a few compilation lines and doing some simple text configuration. Once set up mobile phones will automatically connect to the basestation due to the design of GSM.

Once setup you can go further and create your own private GSM network, or make the whole thing act as a “man-in-the-middle” proxy to a legitimate GSM USB dongle, which would allow you to sniff the traffic on anyone who unknowingly connects to your basestation. This is similar to how a “Stingray” operates, which is a IMSI-catcher device used by law enforcement to intercept and track GSM communications. More information on using the bladeRF as an IMSI catcher with YateBTS can be found in this white paper.

The post Building your own Rogue GSM Basestation with a BladeRF appeared first on rtl-sdr.com.

Recently security researcher cnxroot wrote in to let us know about two of his posts that may be of interest to readers. The posts are written in Chinese, so please use Google Translate to read them in English – it translates okay to some extent.

The first post shows us how to run the RTL-SDR on an OpenWRT capable router server. OpenWRT is a Linux firmware/OS that can be installed on several compatible router devices which extends the usefulness and features of the router. Since it is running Linux the RTL-SDR drivers can be installed onto it, and then rtl_tcp can be run, providing a remote RTL-SDR.

The second post is a bit more advanced. It is about creating a pseudo GSM base station with a USRP SDR and intercepting IoT devices which connect over GSM/GPRS. The post shows how to set up OpenBTS which can be used to create a base station.

The post CNxROOT Two Posts: How to Build an RTL-SDR Server with OpenWRT, Creating a GSM BaseStation with OpenBTS and a USRP appeared first on rtl-sdr.com.

Over on YouTube the channel Budapest Hackerspace has recently uploaded a talk by Piotr Krysik which was given during the August 2016 Camp++ 0x7e0 information security conference. The talk is titled: “GSM signal sniffing for everyone with gr-gsm and Multi-RTL by Piotr Krysik” and talks about using the gr-gsm software and RTL-SDR dongles to sniff the GSM mobile phone network. Also, a tool developed by Piotr called multi-rtl which allows the proper synchronization of multiple RTL-SDR dongles in order to cover the large gap between the GSM uplink and downlink frequencies is discussed.

The talk explains a bit about how GSM works, and then goes on to talk about the gr-gsm and multi-rtl software. The talk blurb reads:

Gr-gsm is a set of tools for receiving GSM transmissions, which works with any software radio hardware capable of receiving GSM signal. Together with widely available RTL2832 based TV dongles, that are popularly used as low cost software radio receivers (known as RTL-SDR), it enables everyone to receive and study protocols used in GSM’s mobile radio interface.

Ability to receive signals spread over wide frequency range exceeding single RTL-SDR receiver’s bandwidth (~2.4MHz) was available exclusively for the owners of more capable and more expensive SDR devices. With introduction of Multi-RTL project by the author of the talk, this limit was overcome through synchronization of multiple RTL-SDR receivers in time domain, that doesn’t require complicated hardware modifications. With Muli-RTL it is possible to receive for example uplink and downlink of GSM900 transmissions, that are separated by 45MHz.

Speaker will present origins of both of the projects, together with description of their inner workings, examples of applications and plans for the future.

The talk slides can be downloaded here.

The post Camp++ YouTube Talk: GSM Signal Sniffing for Everyone with GR-GSM and Multi-RTL appeared first on rtl-sdr.com.

Over on YouTube user Keld Norman has uploaded a video showing how he uses an RTL-SDR with gr-gsm and a Python script to create a simple IMSI catcher. IMSI stands for International mobile subscriber identity and is a unique number that identifies a cell phone SIM card in GSM (2G) mobile phone systems. For security IMSI numbers are usually only transmitted when a connection to a new cell tower is made. More advanced IMSI-catchers used by governmental agencies use a fake cell tower signal to force the IMSI to always be revealed. This way they can track the location of mobile phones as well as other data like who or when you are calling.

In the video Keld uses a Python script called IMSI-Catcher. This script displays the detected IMSI numbers, country, and mobile carrier on a text display. The video description shows how to install GR-GSM and the IMSI-Catcher script on Ubuntu.

The popular YouTube electronics channel Hak5 has uploaded a video showing how they analyzed GSM signals using an RTL-SDR, Wireshark and Airprobe. In their video they use parts of our analyzing GSM tutorial and explain and show visually how to set up all the software.

Using these methods they were able to receive GSM data from a base tower and see various system information.

Over a year ago we wrote a tutorial on how to analyze GSM cellular phone signals using a RTL-SDR, a Linux computer with GNU Radio, Wireshark and a GSM decoder called Airprobe. With this combination it is possible to easily decode GSM system messages. Setting up Airprobe is can be difficult as it is unmaintained and incompatible with the new version of GNU Radio without patches.

Now a new software package called gr-gsm has been released on GitHub which seems to be a newer and improved version of Airprobe. The gr-gsm software is also much easier to install, uses the newer GNU Radio 3.7 and seems to decode the system data with much less trouble than Airprobe did. We will soon update our tutorial to use gr-gsm, but the instructions on the GitHub are already quite good. The author of gr-gsm also appears to be actively adding new features to the software as well. The video below shows gr-gsm in action.

Over on YouTube user Osama SH has uploaded a video briefly showing the steps needed to use an RTL-SDR dongle to sniff some SMS text messages and voice calls made from his own phone. This can be done if some encryption data is known about the phone sending the messages, so it cannot be used to listen in on any phone – just ones you have access to. In the video he uses Airprobe and Wireshark to initially sniff the data, and find the information needed to decode the text message. Once through the process he is able to recover the SMS message and some voice audio files.

The ability to hack some GSM signals has been around for some time now, but the steps to reproduce the hack have been long and difficult to set up. Recently RTL-SDR.com reader Bastien wrote into us to let us know about his recently released project called Topguw. Bastien’s Topguw is a Linux based program that helps piece together all the steps required in the GSM hacking process. Although the steps are simplified, you will still need some knowledge of how GSM works, have installed Airprobe and Kraken, and you’ll also need a 2TB rainbow table which keeps the barrier to this hack still quite high. Bastien writes about his software:

So like I said my software can “crack” SMS and call over GSM network.

How ?

I put quotation marks in crack because my software is not enough to deciphered GSM itself. My software can make some steps of the known-plaintext attack, introduce by Karsten Nohl, and by the way, increase the time to decipher an SMS or call. I’ll not explain here all the steps because they are long and tedious, but there is a lot of work done behind the Gui.

Actually my software can extract Keystream (or try to find some of them) from a capture file of GSM, or by sniffing GSM with a rtl-sdr device. Then you just have to use Kraken to crack the key and you’re able to decipher sms or call.

Why ?

This hack is very interesting! With only a little receiver (rtl-sdr) and some hard-disk capacity (2Tb), everyone can try to hack the GSM. It’s very low cost compare to other hack vector. Moreover the success rate is really great if you guess the Keystream correctly. So when I started to done this with my hands I though -> why don’t try to make something to do this automatically.
This is how Topguw was born.

Topguw, I hope, will sensitize people about risk they take by calling or sending sms with GSM.

My software is currently in beta version but I did run several time and I got good results. Maybe better than something done by hand. But Topguw is made to help people who want to learn the hack. This is why several files are made to help GSM reverse-engineering.

Topguw can be downloaded from GitHub at https://github.com/bastienjalbert/topguw. Bastien has also uploaded a video showing his software in action. If you’re interested in Bastiens YouTube channel as he plans to upload another video soon where he shows himself hacking his own GSM sms/call signals.

Of course remember that hacking into GSM signals is very illegal and if you do this then you must check the legality of doing so in your country and only receive your own messages or messages that are intended for you.

Over on his blog author Simone Margaritelli has added a tutorial that shows how to set up a bladeRF to act as a GSM basestation (cell tower). Having your own GSM basestation allows you to create your own private and free GSM network, or for more malicious illegal users it can allow you to create a system for intercepting peoples calls and data. Simone stresses that it is well known that GSM security is broken (and is probably broken by design), and now it is about time that these flaws were fixed.

In his tutorial he uses a single bladeRF x40 and a Raspberry Pi 3 as the processing hardware. The bladeRF is a $420 transmit and receive capable software defined radio with a tuning range of 300 MHz – 3.8 GHz and 12-bit ADC. He also uses a battery pack which makes the whole thing portable. The software used is Yate and YateBTS which is open source GSM basestation software. Installation as shown in the tutorial is as simple as doing a git clone, running a few compilation lines and doing some simple text configuration. Once set up mobile phones will automatically connect to the basestation due to the design of GSM.

Once setup you can go further and create your own private GSM network, or make the whole thing act as a “man-in-the-middle” proxy to a legitimate GSM USB dongle, which would allow you to sniff the traffic on anyone who unknowingly connects to your basestation. This is similar to how a “Stingray” operates, which is a IMSI-catcher device used by law enforcement to intercept and track GSM communications. More information on using the bladeRF as an IMSI catcher with YateBTS can be found in this white paper.

Recently security researcher cnxroot wrote in to let us know about two of his posts that may be of interest to readers. The posts are written in Chinese, so please use Google Translate to read them in English – it translates okay to some extent.

The first post shows us how to run the RTL-SDR on an OpenWRT capable router server. OpenWRT is a Linux firmware/OS that can be installed on several compatible router devices which extends the usefulness and features of the router. Since it is running Linux the RTL-SDR drivers can be installed onto it, and then rtl_tcp can be run, providing a remote RTL-SDR.

The second post is a bit more advanced. It is about creating a pseudo GSM base station with a USRP SDR and intercepting IoT devices which connect over GSM/GPRS. The post shows how to set up OpenBTS which can be used to create a base station.

Over on YouTube the channel Budapest Hackerspace has recently uploaded a talk by Piotr Krysik which was given during the August 2016 Camp++ 0x7e0 information security conference. The talk is titled: “GSM signal sniffing for everyone with gr-gsm and Multi-RTL by Piotr Krysik” and talks about using the gr-gsm software and RTL-SDR dongles to sniff the GSM mobile phone network. Also, a tool developed by Piotr called multi-rtl which allows the proper synchronization of multiple RTL-SDR dongles in order to cover the large gap between the GSM uplink and downlink frequencies is discussed.

The talk explains a bit about how GSM works, and then goes on to talk about the gr-gsm and multi-rtl software. The talk blurb reads:

Gr-gsm is a set of tools for receiving GSM transmissions, which works with any software radio hardware capable of receiving GSM signal. Together with widely available RTL2832 based TV dongles, that are popularly used as low cost software radio receivers (known as RTL-SDR), it enables everyone to receive and study protocols used in GSM’s mobile radio interface.

Ability to receive signals spread over wide frequency range exceeding single RTL-SDR receiver’s bandwidth (~2.4MHz) was available exclusively for the owners of more capable and more expensive SDR devices. With introduction of Multi-RTL project by the author of the talk, this limit was overcome through synchronization of multiple RTL-SDR receivers in time domain, that doesn’t require complicated hardware modifications. With Muli-RTL it is possible to receive for example uplink and downlink of GSM900 transmissions, that are separated by 45MHz.

Speaker will present origins of both of the projects, together with description of their inner workings, examples of applications and plans for the future.

The talk slides can be downloaded here.