DocumentCode :
786531
Title :
GLRT subspace detection for range and Doppler distributed targets
Author :
Bon, Nicolas ; Khencha, Ali ; Garello, Frené
Author_Institution :
Lab. E312-EA3876, ENSIETA, Brest
Volume :
44
Issue :
2
fYear :
2008
fDate :
4/1/2008 12:00:00 AM
Firstpage :
678
Lastpage :
696
Abstract :
A generalized likelihood ratio test (GLRT) is derived for adaptive detection of range and Doppler-distributed targets. The clutter is modeled as a spherically invariant random process (SIRP) and its texture component is range dependent (heterogeneous clutter). We suppose here that the speckle component covariance matrix is known or estimated thanks to a secondary data set. Thus, unknown parameters to be estimated are local texture values, the complex amplitudes and Doppler frequencies of all scattering centers. To do so, we use superresolution methods. The proposed detector assumes a priori knowledge on the spatial distribution of the target and has the precious property of having a constant false alarm rate (CFAR) with the assumption of a known speckle covariance matrix or by the use of frequency agility.
Keywords :
Doppler radar; adaptive signal detection; covariance matrices; radar clutter; radar detection; radar resolution; radar tracking; random processes; target tracking; Doppler distributed target; GLRT subspace detection; adaptive range detection; clutter model; constant false alarm rate; generalized likelihood ratio test; parameter estimation; spatial target distribution; speckle component covariance matrix; spherically invariant random process; superresolution method; texture component; Amplitude estimation; Covariance matrix; Detectors; Frequency estimation; Parameter estimation; Random processes; Scattering parameters; Spatial resolution; Speckle; Testing;
fLanguage :
English
Journal_Title :
Aerospace and Electronic Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9251
Type :
jour
DOI :
10.1109/TAES.2008.4560214
Filename :
4560214
Link To Document :
بازگشت