Title :
Cognitive multi-antenna radar detection using Bayesian inference
Author_Institution :
Dept. of Eng. & Aviation Sci., Univ. of Maryland Eastern Shore, Princess Anne, MD, USA
Abstract :
We consider a cognitive multi-antenna radar system that is capable of adjusting radar waveforms for iterative transmission based on prior radar scattering channel information. We formulate the cognitive target detection problem. The performance of the detection algorithm by matched illumination is tested using numerical examples and is compared with the time reversal waveforms. The detection results demonstrate the success of the algorithm.
Keywords :
Bayes methods; cognitive radio; inference mechanisms; radar computing; radar detection; Bayesian inference; cognitive multiantenna radar detection; cognitive target detection problem; iterative transmission; radar scattering channel information; radar waveforms; Arrays; Channel estimation; Lighting; Radar; Radar scattering; Vectors; Bayesian Inference; Cognitive Detection; Multi-Antenna Radar;
Conference_Titel :
Sensor Array and Multichannel Signal Processing Workshop (SAM), 2012 IEEE 7th
Conference_Location :
Hoboken, NJ
Print_ISBN :
978-1-4673-1070-3
DOI :
10.1109/SAM.2012.6250524
