Multiple moving target feature extraction for airborne HRR radar

Author

Jiang, Nanzhi ; Li, Jian

Author_Institution

Dept. of Electr. & Comput. Eng., Florida Univ., Gainesville, FL, USA

Volume

37

Issue

4

fYear

2001

fDate

10/1/2001 12:00:00 AM

Firstpage

1254

Lastpage

1266

Abstract

This study considers the clutter suppression and feature extraction of multiple moving targets for airborne high range resolution (HRR) phased array radar. To avoid the range migration problems that occur in the HRR radar data, we divide each HRR profile into nonoverlapping low range resolution segments. No information is lost due to the division and hence no loss of resolution occurs. We show how to use a vector auto-regressive filtering technique to suppress the clutter. Then a relaxation-based parameter estimation algorithm is presented for multiple moving target feature extraction. Numerical results are given to demonstrate the effectiveness of the algorithm

Keywords

airborne radar; autoregressive processes; feature extraction; filtering theory; mean square error methods; parameter estimation; phased array radar; radar clutter; radar resolution; radar target recognition; radar tracking; synthetic aperture radar; airborne phased array radar; clutter suppression; data model; feature extraction; high range resolution radar; mean-squared errors; multiple moving targets; nonoverlapping low range resolution segments; range migration problems; relaxation-based parameter estimation algorithm; vector autoregressive filtering; Airborne radar; Feature extraction; Filtering; Jamming; Parameter estimation; Phase estimation; Phased arrays; Radar clutter; Radar signal processing; Reactive power;

fLanguage

English

Journal_Title

Aerospace and Electronic Systems, IEEE Transactions on

Publisher

ieee

ISSN

0018-9251

Type

jour

DOI

10.1109/7.976963

Filename

976963