DocumentCode :
3194973
Title :
Training method in space-time adaptive processing with strong generalizing ability
Author :
Renbiao, Wu ; Zheng, Bao
Author_Institution :
Inst. of Acoustics Eng., Northwestern Polytech. Univ., Xian, China
fYear :
1995
fDate :
8-11 May 1995
Firstpage :
603
Lastpage :
608
Abstract :
The effects of array errors on the clutter spectra are discussed. It is pointed out that, just like that in pattern recognition problems, the training method has significant effects on the performance of space-time adaptive processing (STAP) techniques. A reasonable training method is given, which exhibits strong generalizing ability. Simulation results based on both the steady-state clutter covariance matrix and the high fidelity radar clutter data confirm the above conclusions
Keywords :
adaptive signal processing; airborne radar; array signal processing; covariance matrices; error analysis; radar clutter; radar signal processing; spectral analysis; airborne early-warning radar; array errors; clutter spectra; high fidelity radar clutter data; pattern recognition problems; simulation results; space-time adaptive processing; steady-state clutter covariance matrix; strong generalizing ability; training method; Acoustical engineering; Adaptive arrays; Airborne radar; Filter bank; Filtering; Microwave filters; Phased arrays; Planar arrays; Radar clutter; Spaceborne radar;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 1995., Record of the IEEE 1995 International
Conference_Location :
Alexandria, VA
Print_ISBN :
0-7803-2121-9
Type :
conf
DOI :
10.1109/RADAR.1995.522617
Filename :
522617
Link To Document :
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