NDLI: Polarization-Space-Time Adaptive Processing for Clutter Suppression in Airborne Radar Systems

Content Provider	IEEE Xplore Digital Library
Author	Dijun Wu Zhenhai Xu Liang Zhang Ziyuan Xiong Shunping Xiao
Copyright Year	2011
Abstract	Clutter suppression is the serious problem for airborne surveillance radar systems. The paper analyses polarization-space-time(PST) joint domain adaptive processing technique for clutter suppress. Firstly, the received target signal model was estabLished in the case of completely polarized wave. Secondly, the optimal weighted vector is obtained using the maximal outputting SINR principle. Then, a new technique, with spectral analysis and resolution grid, is utiLized for deriving performance of clutter suppression. We demonstrate that the main factors which are affect on the performance of clutter rejection, i.e. the clutter degree of polarization, statistical spherical distance of Poincare sphere between target and clutter, Doppler frequency of target and input clutter and noise ratio. Finally, compared to STAP, the performance of polarization-space-time adaptive processing (PSTAP) is significantly better, especially in the case of a target slowly or tangentially moving. The simulation verifies the model correctness and conclusions.
Starting Page	855
Ending Page	858
File Size	173239
Page Count	4
File Format	PDF
ISBN	9781457707551
DOI	10.1109/ICDMA.2011.211
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-05
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Polarization space time adaptive processing Radar Covariance matrix Doppler effect Arrays Clutter Signal to noise ratio Clutter suppression Spectracl domain alaysis
Content Type	Text
Resource Type	Article

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