DocumentCode :
337869
Title :
Analysis of the adaptive matched filter algorithm for cases with mismatched clutter statistics
Author :
Zhang, Y. ; Blum, R.S.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Lehigh Univ., Bethlehem, PA, USA
Volume :
5
fYear :
1999
fDate :
1999
Firstpage :
2981
Abstract :
In practical radar applications of the adaptive matched filter algorithm, the covariance matrix for the clutter-plus-noise is typically estimated using data taken from range cells surrounding the cell under test. In a nonhomogeneous environment, this can lead to a mismatch between the mean of the estimated covariance matrix and the true covariance matrix for the range cell under test. Closed form expressions are provided, which give the performance for such cases. These equations are exact in some cases and provide useful approximate results in others. Performance depends on a small number of important parameters. These parameters describe which types of mismatches are important and which are not. Numerical examples illustrate how the performance varies with each of the important parameters. Monte Carlo simulations are included which closely match the predictions of our equations
Keywords :
Monte Carlo methods; adaptive filters; adaptive radar; adaptive signal detection; adaptive signal processing; airborne radar; covariance matrices; matched filters; noise; probability; radar applications; radar clutter; radar detection; radar signal processing; statistical analysis; Monte Carlo simulations; adaptive matched filter algorithm; adaptive radar detection algorithms; airborne radar; cell under test; closed form expressions; clutter-plus-noise; covariance matrix; detection probability; estimated covariance matrix; false alarm probability; mean; mismatched clutter statistics; nonhomogeneous environment; parameters; performance; practical radar applications; range cells; true covariance matrix; Algorithm design and analysis; Clutter; Computer aided software engineering; Covariance matrix; Equations; Gaussian noise; Matched filters; Maximum likelihood estimation; Statistical analysis; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Acoustics, Speech, and Signal Processing, 1999. Proceedings., 1999 IEEE International Conference on
Conference_Location :
Phoenix, AZ
ISSN :
1520-6149
Print_ISBN :
0-7803-5041-3
Type :
conf
DOI :
10.1109/ICASSP.1999.761389
Filename :
761389
Link To Document :
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