DocumentCode
48236
Title
Modelling and simulation of spatial-temporal correlated K distributed clutter for coherent radar seeker
Author
Yong Yang ; Shun-Ping Xiao ; De-Jun Feng ; Wen-Ming Zhang
Author_Institution
State Key Lab. of Complex Electromagn. Effects on Electron. & Inf. Syst., Nat. Univ. of Defense Technol., Changsha, China
Volume
8
Issue
1
fYear
2014
fDate
Jan-14
Firstpage
1
Lastpage
8
Abstract
Modelling the clutter with accurate spatialtemporal correlation, amplitude statistical characteristic and coherence is significant to the evaluation of constant false alarm rate (CFAR) detection performance for coherent radar seeker in clutter. In this study, the authors propose a modelling method for spatialtemporal correlated coherent K distributed clutter. At first, with the assumption that clutter shape parameter is known, the authors estimate the scale parameter of K distributed clutter by calculating the clutter power of the range reference cell of CFAR detection according to the radar seeker operating circumstance. Then, they model the temporal correlated coherent K distributed clutter and spatial correlated coherent K distributed modulation component, respectively, by employing exogenous modelling method. The authors propose to modulate the temporal clutter with spatial modulation sequence to obtain spatialtemporal correlated coherent K distributed clutter for multiple range reference cells of CFAR detection. Finally, they show the validity of the proposed modelling method by simulation.
Keywords
modulation; radar clutter; radar detection; statistical analysis; CFAR; amplitude statistical characteristic; clutter power calculation; coherent radar seeker; constant false alarm rate detection performance; exogenous modelling method; multiple range reference cell; spatial correlated coherent K distributed modulation component; spatialtemporal correlated coherent K distributed clutter; temporal correlated coherent K distributed clutter;
fLanguage
English
Journal_Title
Radar, Sonar & Navigation, IET
Publisher
iet
ISSN
1751-8784
Type
jour
DOI
10.1049/iet-rsn.2012.0373
Filename
6702404
Link To Document