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Reduced-Rank STAP Schemes for Airborne Radar Based on Switched Joint Interpolation, Decimation and Filtering Algorithm

Fa, R., de Lamare, R.C. and Wang, L. (2010) Reduced-Rank STAP Schemes for Airborne Radar Based on Switched Joint Interpolation, Decimation and Filtering Algorithm. IEEE Transactions on Signal Processing. 5447728. pp. 4182-4194. ISSN 1053-587X

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In this paper, we propose a reduced-rank space-time adaptive processing (STAP) technique for airborne phased array radar applications. The proposed STAP method performs dimensionality reduction by using a reduced-rank switched joint interpolation, decimation and filtering algorithm (RR-SJIDF). In this scheme, a multiple-processing-branch (MPB) framework, which contains a set of jointly optimized interpolation, decimation and filtering units, is proposed to adaptively process the observations and suppress jammers and clutter. The output is switched to the branch with the best performance according to the minimum variance criterion. In order to design the decimation unit, we present an optimal decimation scheme and a low-complexity decimation scheme. We also develop two adaptive implementations for the proposed scheme, one based on a recursive least squares (RLS) algorithm and the other on a constrained conjugate gradient (CCG) algorithm. The proposed adaptive algorithms are tested with simulated radar data. The simulation results show that the proposed RR-SJIDF STAP schemes with both the RLS and the CCG algorithms converge at a very fast speed and provide a considerable SINR improvement over the state-of-the-art reduced-rank schemes.

Item Type: Article
Copyright, Publisher and Additional Information: © 2010 IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS. This is an author produced version of a paper published in IEEE TRANSACTIONS ON SIGNAL PROCESSING. Uploaded in accordance with the publisher's self archiving policy.
Keywords: Airborne phased array radar,reduced-rank techniques,space-time adaptive processing (STAP),ADAPTIVE RADAR,CFAR DETECTION,ARRAYS,SYSTEMS,Signal Processing,Electrical and Electronic Engineering
Institution: The University of York
Academic Units: The University of York > Electronics (York)
Depositing User: Repository Administrator York
Date Deposited: 13 Oct 2010 15:19
Last Modified: 26 Jun 2016 00:20
Published Version: http://dx.doi.org/10.1109/TSP.2010.2048212
Status: Published
Refereed: Yes
Related URLs:
URI: http://eprints.whiterose.ac.uk/id/eprint/30666

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