NDLI: Optimal mismatched filter bank design for MIMO radar via convex optimization

Content Provider	IEEE Xplore Digital Library
Author	Liangbing Hu Hongwei Liu Da-Zheng Feng Bo Jiu Xu Wang Shunjun Wu
Copyright Year	2010
Description	Author affiliation: National Lab of Radar Signal Processing, Xidian University, Xi'an, 710071, P.R. China (Liangbing Hu; Hongwei Liu; Da-Zheng Feng; Bo Jiu; Xu Wang; Shunjun Wu)
Abstract	In this paper, a mismatched filter bank is designed for suppressing the autocorrelation peak sidelobe level (PSL) and the peak cross-correlation level (PCCL) of an orthogonal polyphase sequence set applied in a multiple-input multiple-output (MIMO) radar system. The mismatched filter bank is obtained by minimizing a weighted maximum of the PSL and PCCL on the basis of the convex optimization. Compared with the iteratively reweighted least squares (IRLS) method, the proposed convex method can get the optimal mismatched filter bank with the minimum PSL and PCCL, and can also control the system signal-to-noise ratio loss (SNRL). Numerical examples show that the optimal mismatched filter bank at the cost of a slight SNRL can achieve a good improvement of the PSL and a moderate improvement of the PCCL, if the filter length P and the weighting factor w between the PSL and PCCL are appropriately chosen.
Starting Page	000126
Ending Page	000131
File Size	1213988
Page Count	6
File Format	PDF
ISBN	9781424482023
ISSN	21504652
e-ISBN	9781424482016
DOI	10.1109/WDD.2010.5592400
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-08
Publisher Place	Canada
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	multiple-input multiple-output (MIMO) radar Matched filters Correlation Mismatched filter bank design MIMO radar convex optimization orthogonal polyphase sequence set Filter bank Convex functions MIMO
Content Type	Text
Resource Type	Article

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