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