Title :
A thresholding scheme for target detection for noise radar systems based on random matrix theory
Author :
Yangsoo Kwon ; Narayanan, Ram M. ; Rangaswamy, Muralidhar
Author_Institution :
Dept. of Electr. Eng., Pennsylvania State Univ., University Park, PA, USA
Abstract :
Target detection is one of important roles of radar systems. In this paper, we present a threshold method for multiple target detection for of noise radar systems. In order to avoid ambiguous target detection, we find thresholds to guarantee the detection performance with the same receiving antenna elements for a given false alarm probability. The threshold is computed from the largest and smallest eigenvalue distributions based on random matrix theory. Simulations show that the proposed threshold provides exact target detection.
Keywords :
eigenvalues and eigenfunctions; matrix algebra; object detection; radar detection; radar signal processing; receiving antennas; statistical distributions; eigenvalue distributions; false alarm probability; multiple target detection; noise radar systems; random matrix theory; receiving antenna elements; threshold method; thresholding scheme; Correlation; Covariance matrices; Eigenvalues and eigenfunctions; Object detection; Radar; Signal to noise ratio;
Conference_Titel :
Radar Conference, 2014 IEEE
Conference_Location :
Cincinnati, OH
Print_ISBN :
978-1-4799-2034-1
DOI :
10.1109/RADAR.2014.6875679
