DocumentCode
561666
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
Volume
1
fYear
2011
fDate
24-27 Oct. 2011
Firstpage
481
Lastpage
484
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Radar (Radar), 2011 IEEE CIE International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-8444-7
Type
conf
DOI
10.1109/CIE-Radar.2011.6159584
Filename
6159584
Link To Document