MAR-model-based adaptive detection in space-time colored compound Gaussian clutter

Author

Xu, Qi ; Ma, Xiaochuan ; Yan, Shefeng ; Hao, Chengpeng

Author_Institution

Inst. of Acoust., Beijing, China

Volume

1

fYear

2011

fDate

24-27 Oct. 2011

Firstpage

462

Lastpage

466

Abstract

The problem of adaptive detection for a multichannel signal in space-time colored compound Gaussian clutter is studied. The speckle component of the clutter is modeled as a multichannel autoregressive (MAR) process. Firstly, assuming that the MAR parameters are known, we derive a parametric generalized likelihood ratio test (PGLRT) against compound Gaussian clutter. By replacing the ideal MAR parameters with their estimates based on training signals only, the adaptive PGLRT detectors are obtained. The simulation results confirm the effectiveness of the proposed adaptive detectors in training-limited situations.

Keywords

Gaussian distribution; autoregressive processes; radar clutter; space-time adaptive processing; speckle; Gaussian clutter; MAR model; adaptive PGLRT detectors; adaptive detection; multichannel autoregressive; multichannel signal; parametric generalized likelihood ratio test; space-time colored compound clutter; speckle component; Adaptation models; Clutter; Compounds; Covariance matrix; Detectors; Training; Vectors; Compound Gaussian clutter; Generalized likelihood ratio test (GLRT); Multichannel AR process; Multichannel signal detection;

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.2011.6159580

Filename

6159580