NDLI: Sparsity-Based Direct Data Domain Space-Time Adaptive Processing with Intrinsic Clutter Motion

Content Provider	Springer Nature Link
Author	Yang, Zhaocheng Qin, Yuliang Lamare, Rodrigo C. Wang, Hongqiang Li, Xiang
Copyright Year	2016
Abstract	In this paper, we propose a sparsity-based direct data domain space-time adaptive processing (D3-STAP) algorithm for airborne radar that considers the intrinsic clutter motion (ICM). The proposed D3-STAP scheme models the received returns in the presence of ICM as a sparse measurement model. Then, we derive the principle of the sparsity-based D3-STAP that uses the focal underdetermined system solution (FOCUSS) method. The proposed D3-STAP algorithm estimates the clutter covariance matrix by a Hadamard product of the covariance matrix taper (CMT) and the clutter covariance matrix estimate with the FOCUSS technique. In addition, we develop a CMT adaptation approach for the proposed D3-STAP algorithm to automatically select the best CMT. Simulation results show that the proposed algorithm outperforms the existing D3-STAP using the least-squares technique and the sparsity-based D3-STAP algorithm without CMT.
Starting Page	219
Ending Page	246
Page Count	28
File Format	PDF
ISSN	0278081X
Journal	Circuits, Systems, and Signal Processing
Volume Number	36
Issue Number	1
e-ISSN	15315878
Language	English
Publisher	Springer US
Publisher Date	2016-03-25
Publisher Place	New York
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Space-time adaptive processing Covariance matrix taper Intrinsic clutter motion Spatio-temporal sparsity Direct data domain Circuits and Systems Electrical Engineering Signal,Image and Speech Processing Electronics and Microelectronics, Instrumentation
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Signal Processing

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