Convex optimization for optimal PMEPR and mismatched filter design in OFDM radar

Gabriel Lellouch, Amit Mishra, Mike Inggs

Research output: Chapter in Book/Report/Conference proceedingConference Proceeding (Non-Journal item)


In OFDM radar, two distinct processing techniques call for different sets of constraints for the OFDM pulse. On the one hand the variations of the time domain envelope must be minimized. On the other hand, not only this, but the sidelobe level of the compressed pulse shall also be minimized. While a number of techniques exist to address both problems separately or jointly, they were never proven to be optimal. In contrast, the recently developed convex optimization techniques guarantee the best solution for the particular problem at stake while involving short computation times. In this paper, we address the unrestricted problem of the so-called peak-to-mean envelope power ratio (PMEPR) optimization jointly with the design of optimal mismatched filters for the OFDM case. We demonstrate that our convex based method is able to outperform a number of state-of-the-art techniques.

Original languageEnglish
Title of host publication2015 IEEE Radar Conference - Proceedings
PublisherIEEE Press
Number of pages5
ISBN (Electronic)9781467396554
Publication statusPublished - 27 Oct 2015
Externally publishedYes
EventIEEE Radar Conference - Johannesburg, South Africa
Duration: 27 Oct 201530 Oct 2015

Publication series

Name2015 IEEE Radar Conference - Proceedings


ConferenceIEEE Radar Conference
Country/TerritorySouth Africa
Period27 Oct 201530 Oct 2015


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