Worst-case jamming signal design and avoidance for MIMO radars

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Abstract

We optimize the jamming signal for disrupting the operation of a MIMO radar system in order to understand the threat jamming poses to such systems. The jamming signal optimization is formulated as a minimax problem minimizing the maximum SINR that the receivers can achieve, resulting in a semidefinite program for a Toeplitz jamming covariance matrix or a second-order cone program for a circulant approximation. In the simplest case of optimizing the average SINR of a single receiver, a waterfilling-type solution is obtained. Numerical studies suggest that distributed radar systems with waveform agility and mismatched filtering capabilities are resilient against jamming.

Details

Original languageEnglish
Title of host publicationProceedings of the 24th European Signal Processing Conference, EUSIPCO 2016
Publication statusPublished - 28 Nov 2016
MoE publication typeA4 Article in a conference publication
EventEuropean Signal Processing Conference - Budapest, Hungary
Duration: 28 Aug 20162 Sep 2016
Conference number: 24
http://www.eusipco2016.org/

Publication series

NameEuropean Signal Processing Conference
PublisherInstitute of Electrical and Electronics Engineers, Inc.
ISSN (Print)2219-5491
ISSN (Electronic)2076-1465

Conference

ConferenceEuropean Signal Processing Conference
Abbreviated titleEUSIPCO
CountryHungary
CityBudapest
Period28/08/201602/09/2016
Internet address

    Research areas

  • Anti-jamming, Convex optimization, Interference mitigation, Jamming, MIMO radar, Mismatched filtering, Waterfilling

ID: 10227719