Title :
Random matrix theory inspired passive bistatic radar detection with noisy reference signal
Author :
Gogineni, Sandeep ; Setlur, Pawan ; Rangaswamy, Muralidhar ; Nadakuditi, Raj Rao
Author_Institution :
Wright State Res. Inst., Beavercreek, OH, USA
Abstract :
Traditional passive radar systems with a noisy reference signal use the cross-correlation statistic for detection. However, owing to the composite nature of this hypothesis testing problem, no claims can be made about the optimality of this detector. In this paper, we consider digital illuminators such that the transmitted signal in a processing interval is a weighted periodic summation of several identical pulses. The target reflectivity is assumed to change independently from one pulse to another within a processing interval. Inspired by random matrix theory, we propose a singular value decomposition (SVD) and Eigen detector for this model that significantly outperforms the conventional cross-correlation detector. We demonstrate this performance improvement through extensive numerical simulations across various surveillance and reference signal-to-noise ratio (SNR) regimes.
Keywords :
eigenvalues and eigenfunctions; passive radar; radar detection; singular value decomposition; cross-correlation statistic; digital illuminators; eigen detector; hypothesis testing problem; noisy reference signal; passive bistatic radar detection; passive radar systems; random matrix theory; singular value decomposition; target reflectivity; weighted periodic summation; Computational modeling; Correlation; Detectors; Noise measurement; Signal to noise ratio; Time measurement; Welding; Detection; Kolmogorov-Smirnov; Passive radar; Phase transition; Random matrix theory; Singular value decomposition;
Conference_Titel :
Acoustics, Speech and Signal Processing (ICASSP), 2015 IEEE International Conference on
Conference_Location :
South Brisbane, QLD
DOI :
10.1109/ICASSP.2015.7178472