Title :
Detection Probability of a CFAR Matched Filter with Signal Steering Vector Errors
Author :
Jun Liu ; Weijian Liu ; Bo Chen ; Hongwei Liu ; Hongbin Li
Author_Institution :
Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
Abstract :
Our aim in this work is to analyze the detection performance of a constant false alarm rata matched filter (CFAR-MF) which was developed for the detection problem in white Gaussian noise with unknown noise power. An exact expression for the detection probability of the CFAR-MF is derived in the mismatched case where mismatch exists between the actual signal steering vector and the nominal one. This theoretical expression can be used to facilitate the performance evaluation of the CFAR-MF in real-world scenarios when signal mismatch cannot be neglected.
Keywords :
AWGN; matched filters; performance evaluation; probability; signal detection; CFAR-MF; constant false alarm rate-matched filter; detection probability; noise power; performance evaluation; signal mismatch; signal steering vector error; white Gaussian noise; Covariance matrices; Matched filters; Signal detection; Uncertainty; White noise; Constant false alarm rate; matched filter; signal detection; steering vector mismatch;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2015.2494013
