Title :
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
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;
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.2011.6159580
