Introduction of cognitive radar for enhanced collision avoidance of UAV: Originally the aim of our project was the „Introduction of cognitive radar for enhanced collision avoidance of UAV”. When we closed the project, we created a prototype of a „flexible radar & video & communications hardware and software system against UAV (Unmanned Aerial Vehicle)”. We combined microwave UWB (Ultra-Wide Band) and MM-wave SRR (Short Range Radar) technologies with MIMO (Multiple-Input-Multiple-Output) antenna arrangements.

Using these features, we can sense the surroundings of vehicles in real-time with a resolution of a centimeter up to several hundred meters in range. The prototype system consists of improved video signal processing, cognitive and smart tracking functions, enhanced robust communications and 4D radar systems. Using these technologies, we succeeded in creating a complex, intelligent multi-spectral sensor analyzer platform.

The environment can be modeled with a stochastic process, which was only done so far for the continuous identification of the received signal parameters. Previous generations of radars didn’t utilize the cognitive, knowledge-based feedback of the radar and image processing experiences gained in target recognition over the past five decades. Precisely, these receiver side pulse synthesis and compression methods get emphasized in the project with the introduction of cognitive methods. The existing orthogonal signal set and multi-carrier signal options can ensure the cognitive realization of the transmitter side waveform by using the receiver side’s signal processed information as feedback. In our scalable solutions the adaptability can be extended to the multi-frequency and orthogonal functions used by current transmitters. These cognitive feedback methods can also be utilized for image processing, radio communications and computing scenarios directly, without re-processing previous morphological and database generated experiences and parameters.

Specifically new results of the completed project

“DEFENDING UAV & PROTECTING AGAINST UAV”

are as follows:

a. 4D MIMO radar prototype equipment; new baseband, HF and antenna modules,

b. Prototype of a 20MP video signal processing system, with identification and tracking
features,

c. Prototype of a new generation solution for an UAV communications system with
increased range and improved error ratio,

d. Integrated Linux control and simulation software system with new stochastic
algorithms,

e. Channelized flexible video communications for multi-spectral data fusion & imaging,

f. Theoretical Foundation of Stochastic radar signal processing and interactive
algorithmic support of the operative radar experiments,

g. Coding & Decoding Software Development of Real-Time Time Encoded
Communications,

h. Theoretical and experimental research for Navigation of Cooperative UAV fleet, with
signal interrupt compensation,

i. New generation theory of multi-user OFDM communications between UAV base
station and fleet,

j. Quantum electrodynamics Research and Applications of Cognitive Elements in the
Human Brain,

k. Terabyte Supports: Technical professional library and Global Database connection for
the project researchers,

l. Real-Time Capon angle measurement procedure by solving SVD matrix inversions.

NKFIH Project: KMR_12-1-2012-0008, 

1 April, 2013 – 15 December, 2015

Research & Development were made by a Consortium,
Led by BHE BONN Hungary Ltd, with Co-operation of Member Firms,
Research Institute MTA EK MFA, Technical University BME, and ASTRON Ltd