Optimal Mismatched Filter Design for Radar Using Bounded Real Lemma

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

Mismatched filters can be used in remote sensing, particularly in radars, for sidelobe and interference attenuation. By correlating the received signal with not a copy of the transmitted waveform but a slightly modified signal, it is possible to adjust the sidelobes and interference level at the cost of reduced SNR. We show that the Bounded Real Lemma can be used to find the filter coefficients directly as a solution to a convex problem without need for any approximation or relaxation. Thus, contrary to the previous methods, the globally optimal mismatched filter can be found efficiently even when the Doppler shift of the received signal is significant, such as in the case of slow-time coded radar pulses.

Original languageEnglish
Title of host publication2020 IEEE Radar Conference, RadarConf 2020
PublisherIEEE
ISBN (Electronic)9781728189420
DOIs
Publication statusPublished - 21 Sep 2020
MoE publication typeA4 Article in a conference publication
EventIEEE Radar Conference - Florence, Italy
Duration: 21 Sep 202025 Sep 2020

Publication series

NameIEEE Radar Conference
Volume2020-September
ISSN (Print)1097-5659
ISSN (Electronic)2375-5318

Conference

ConferenceIEEE Radar Conference
Abbreviated titleRadarCon
CountryItaly
CityFlorence
Period21/09/202025/09/2020

Keywords

  • filter design
  • MIMO radar
  • mismatched filtering
  • Radar
  • remote sensing

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