DocumentCode :
2783590
Title :
Robust short-range clutter suppression algorithm for forward looking airborne radar
Author :
Li, Ming ; Liao, Guisheng
Author_Institution :
Nat. Lab. of Radar Signal Process., Xidian Univ., Xi´´an, China
fYear :
2010
fDate :
10-14 May 2010
Firstpage :
559
Lastpage :
562
Abstract :
The short-range clutter has serious range dependence for forward looking airborne radar (FLAR). As a result, when a radar detects moving targets on far range gates, the ambiguous short-range clutter degrades the performance of ground moving target indication (GMTI) obtained by space-time adaptive processing (STAP). The elevation three dimensional adaptive processing can well mitigate the problem, but, the computational load of the method is too heavy to be applied in real scenarios. A robust elevation pre-filtering algorithm is proposed. This method does not need adaptive processing on the elevation elements in a planar-array antenna. Therefore, the computational load can be reduced greatly. This method suppresses the ambiguous short-range clutter by multi-elevation angles restriction and the cancellation weight on the clutter has a deep and wide notch. Moreover, the method is robust to the elevation angle errors. Simulation results show the validity of the method.
Keywords :
airborne radar; planar antenna arrays; radar clutter; radar detection; space-time adaptive processing; FLAR; GMTI; STAP; forward looking airborne radar; ground moving target indication; planar-array antenna; robust elevation prefiltering algorithm; short-range clutter suppression; space-time adaptive processing; Airborne radar; Azimuth; Clutter; Degradation; Estimation error; Maximum likelihood estimation; Radar signal processing; Receiving antennas; Robustness; Signal processing algorithms;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Radar Conference, 2010 IEEE
Conference_Location :
Washington, DC
ISSN :
1097-5659
Print_ISBN :
978-1-4244-5811-0
Type :
conf
DOI :
10.1109/RADAR.2010.5494557
Filename :
5494557
Link To Document :
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