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MIMO radar space–time adaptive processing using prolate spheroidal wave functions

Chen, Chun-Yang and Vaidyanathan, P. P. (2008) MIMO radar space–time adaptive processing using prolate spheroidal wave functions. IEEE Transactions on Signal Processing, 56 (2). pp. 623-635. ISSN 1053-587X. http://resolver.caltech.edu/CaltechAUTHORS:CHEieeetsp08b

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Abstract

In the traditional transmitting beamforming radar system, the transmitting antennas send coherent waveforms which form a highly focused beam. In the multiple-input multiple-output (MIMO) radar system, the transmitter sends noncoherent (possibly orthogonal) broad (possibly omnidirectional) waveforms. These waveforms can be extracted at the receiver by a matched filterbank. The extracted signals can be used to obtain more diversity or to improve the spatial resolution for clutter. This paper focuses on space–time adaptive processing (STAP) for MIMO radar systems which improves the spatial resolution for clutter. With a slight modification, STAP methods developed originally for the single-input multiple-output (SIMO) radar (conventional radar) can also be used in MIMO radar. However, in the MIMO radar, the rank of the jammer-and-clutter subspace becomes very large, especially the jammer subspace. It affects both the complexity and the convergence of the STAP algorithm. In this paper, the clutter space and its rank in the MIMO radar are explored. By using the geometry of the problem rather than data, the clutter subspace can be represented using prolate spheroidal wave functions (PSWF). A new STAP algorithm is also proposed. It computes the clutter space using the PSWF and utilizes the block-diagonal property of the jammer covariance matrix. Because of fully utilizing the geometry and the structure of the covariance matrix, the method has very good SINR performance and low computational complexity.


Item Type:Article
Additional Information:© Copyright 2007 IEEE. Reprinted with permission. Manuscript received November 15, 2006; revised July 22, 2007. [Posted online: 2008-01-16] The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Steven M. Kay. This work was supported in part by the ONR Grant N00014-06-1-0011 and the California Institute of Technology.
Subject Keywords:Clutter subspaces; multiple-input multiple-output (MIMO) radar; prolate spheroidal wave function; space–time adaptive processing (STAP); MIMO communication; covariance matrices; feature extraction; filtering theory; geometry; radar clutter; radar signal processing; signal resolution; wave functions; MIMO radar; SINR performance; block-diagonal property; clutter space; computational complexity; covariance matrix; filter bank; multiple-input multiple-output radar system; noncoherent broad waveforms; signal extraction; spatial resolution; transmitting antenna
Issue or Number:2
Record Number:CaltechAUTHORS:CHEieeetsp08b
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:CHEieeetsp08b
Alternative URL:http://dx.doi.org/10.1109/TSP.2007.907917
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:9664
Collection:CaltechAUTHORS
Deposited By: Kristin Buxton
Deposited On:25 Feb 2008
Last Modified:26 Dec 2012 09:51

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