Mismatched filter design and interference mitigation for MIMO radars

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Abstract

MIMO radar receivers need to reliably separate waveforms originating from different transmitters while suppressing interference for effective operation. In order to achieve this goal, mismatched filters may be employed at the receivers. By using mismatched filters, it is possible to reduce the power of the interference while strictly controlling the autocorrelation sidelobe and peak cross-correlation levels of the received waveforms. In this paper, we propose a mismatched filter design method that minimizes interference and jamming power at the filter output while the peak sidelobe and cross-correlation levels for all Doppler frequencies are constrained to desired values. The proposed design method is formulated as an optimization problem employing sum-of-squares representation of non-negative polynomials and solved using semidefinite relaxation. It is demonstrated that good interference suppression performance is achieved even when using an estimated covariance matrix.

Details

Original languageEnglish
Article number7676390
Pages (from-to)454-466
Number of pages13
JournalIEEE Transactions on Signal Processing
Volume65
Issue number2
Early online date25 Oct 2016
Publication statusPublished - 15 Jan 2017
MoE publication typeA1 Journal article-refereed

    Research areas

  • convex optimization, filter design, interference suppression, jamming, MIMO radar, mismatched filter, polynomial constraints, semidefinite relaxation

ID: 9793804