Title :
Knowledge-aided Bayesian Rao and wald tests for radar adaptive detection in heterogeneous environment
Author :
Zhou, Yu ; Zhang, Lin-rang
Author_Institution :
Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China
Abstract :
We resort to a Bayesian framework and design knowledge-aided (KA) Rao and Wald tests for radar adaptive detection based on the partially homogeneous model, which outperform their conventional counterparts in heterogeneous environment. Meanwhile, the coincidence of the proposed detectors is proved.
Keywords :
Bayes methods; radar detection; Wald test; heterogeneous environment; knowledge-aided Bayesian Rao test; radar adaptive detection; Bayesian methods; Detectors; Equations; Radar detection; Signal to noise ratio; Training data; Bayesian; Knowledge-aided; Radar adaptive detection; Rao test; Wald test;
Conference_Titel :
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-8444-7
DOI :
10.1109/CIE-Radar.2011.6159584
