DocumentCode
73075
Title
Range-dependent clutter suppression approach for non-side-looking airborne radar based on orthogonal waveforms
Author
Cai Wen ; Tong Wang ; Jian-xin Wu
Author_Institution
Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´an, China
Volume
9
Issue
2
fYear
2015
fDate
2 2015
Firstpage
210
Lastpage
220
Abstract
Clutter suppression is a challenging problem in non-side-looking airborne radar (NSLAR) because of the range-dependent clutter. It is more intractable when the NSLAR operates at high pulse repetition frequency (HPRF). In this study, a cascaded algorithm is presented to realise clutter suppression for NSLAR with HPRF. A novel orthogonal-waveform-based elevation adaptive beamforming method is proposed to suppress range-dependent near-range clutter at the first stage, and the residual range-independent far-range clutter is suppressed by azimuth-Doppler space-time adaptive processing (STAP) at the second stage. The proposed elevation beamformer can provide excellent performance on near-range clutter suppression because of the developed secondary data selection strategy. After suppression of the range-dependent near-range clutter, the range independency of clutter samples is enhanced evidently. Hence, the clutter suppression performance obtained by azimuth-Doppler STAP methods could be improved dramatically. Numerical examples are given to verify the validity of the proposed algorithm.
Keywords
Doppler shift; airborne radar; array signal processing; interference suppression; radar clutter; radar signal processing; space-time adaptive processing; HPRF; NSLAR; azimuth-Doppler STAP methods; azimuth-Doppler space-time adaptive processing; cascaded algorithm; high pulse repetition frequency; nonside-looking airborne radar; orthogonal-waveform-based elevation adaptive beamforming method; range independency; range-dependent near-range clutter suppression approach; secondary data selection strategy;
fLanguage
English
Journal_Title
Radar, Sonar & Navigation, IET
Publisher
iet
ISSN
1751-8784
Type
jour
DOI
10.1049/iet-rsn.2014.0018
Filename
7046308
Link To Document