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.
Drone defense is a problem that is plaguing airports, cities, sensitive buildings and the military. These days anyone with a low cost off the shelf drone can cause havoc. Solutions so far have included net guns, drone deployed nets, wideband jammers, GPS spoofers, traditional and passive radar systems, visual camera detection, propeller noise detection, microwave lasers and SDR based point and shoot drone jamming guns like the IXI Dronekiller.
Both the expensive made for military IXI Dronekiller SDR gun, and the LimeSDR Dronesense work in a similar way. They begin by initially using their scanning feature to detect and find potential drone signals. If a drone signal is detected, it will emit a jamming signal on that particular frequency, resulting in the drone entering a fail-safe mode and either returning to base or immediately landing. Specifically targeting the drone's frequency should help make the jammers compliant with radio regulations as they won't jam other legitimate users at the same time. We note that this method might not stop drones using custom RF communications, or fully autonomous drones.
However, unlike the IXI Dronekiller gun, Dronesense requires no pointing and aiming of a gun like device. Instead it appears to be mounted on another drone, with an omnidirectional jamming antenna. It runs with a GNU Radio based flowgraph which decides if a detected signal is from a drone, and if so activates the jammer. Unfortunately the software and further details don't appear to be available due to non-disclosure agreements.
DroneSense Second Jamming Test (Software Defined Aerial Platform)
Recently Zoltan of rfsparkling.com wrote in to us to show us how he combined efforts with András (programmer of the OpenWebRX software) to create a proof of concept remote spectrum monitoring drone. The drone uses an RTL-SDR connected to a Raspberry Pi, and the Raspberry Pi runs an OpenWebRX server which broadcasts the radio data via 4G mobile internet. The full connection flow chart goes as follows:
[Drone] Antenna – > RTL-SDR – > RPi 2 – > OpenWebRX Server – > 4G mobile net – > … Internet … [Notebook] – > 4G mobile net – > Browser with OpenWebRX client
Zoltan writes that some possible applications include emergency communications, ham radio, 3D spectrum mapping, etc. In the future he also hopes to add TX capabilities, so that the drone can also work a a makeshift transceiver tower. The biggest limitation that Zoltan noted is the flight time of only about 10 minutes. However, a solution he suggests for future experiments is using wire powered drones.
Over on YouTube balint256 (Balint), a researcher at Ettus (creators of the USRP line of software defined radios) has uploaded a video showing how he is using his USRP to help with frequency management at FPV time trial racing events. FPV a.k.a First Person View is a term used to describe the act of flying a remote controlled aircraft such as a quadcopter with an onboard camera that transmits live video down to the pilot. FPV racing is a new sport where pilots race FPV controlled drones around a track.
One important technical challenge at these events is frequency management. FPV drones use many frequencies at around 2.4 GHz for control and 5.8/2.4/1.3 GHz for video. With many drones in the air it is important that frequencies are managed appropriately so as to not jam each others signals.
To try and solve this problem Balint has been using GNU Radio coupled with a USRP X310 software defined radio to get very wide band RF spectrum waterfall views of the 2.4 and 5.8 GHz bands. In the waterfalls he is able to see when control signals and video signals are transmitted and at what frequency, and is able to tell if any are overlapping and jamming each other.
SDR Wideband Spectrum Monitoring for Drone FPV Frequency Management
In addition to this, Balint has also been working on his custom software defined radio based digital video downlink. Back in March we posted about his earlier work on this concept. In the video Balint demonstrates his drone with an on board USRP E310 which is used to send a custom 4.2 Mbps video downlink.
SDR digital video downlink (custom drone FPV) with E310 + webcam
Balint, one of the researchers at Ettus Research (the company behind the USRP range of software defined radios) has recently uploaded a video to YouTube showing one of his projects where he is prototyping the use of a digital signal for transmitting digital FPV video on a drone. The drone carries a USRP E310 SDR and transmits a QPSK video down developed in GNU Radio to a receiver on the ground.
FPV strands for “first person view” and is a growing hobby where remote controlled aircraft such as quadcopter drones are flown in first person view using live video from an on board camera.
Drone + SDR: USRP E310 real-time digital video downlink (teaser)
In another video balint also shows how the on board E310 can be used to transmit frequency scan FFT data via a WiFi link. This can be very useful for getting an antenna up high enough to get good reception for a scan.