An OFDM-based waveform separation approach for MIMO-SAR

Lilong Qin, Sergiy A. Vorobyov, Zhen Dong

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

3 Citations (Scopus)

Abstract

The waveform separation based on matched filtering leads to the cross correlation interference, which deteriorates the performance of multiple-input multiple-output (MIMO) radar system. This paper investigates the performance of a waveform separation approach employing a novel orthogonal frequency division multiplexing scheme for MIMO synthetic aperture radar. The approach enables to separate the waveforms perfectly even though the waveforms are on common spectral support. By means of theoretical analysis confirmed also by simulations, we show that the proposed scheme decreases sidelobe ratio. Thus, the high-quality imaging can be achieved.

Original languageEnglish
Title of host publication2015 IEEE 6th International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2015
PublisherIEEE
Pages125-128
Number of pages4
ISBN (Print)9781479919635
DOIs
Publication statusPublished - 14 Jan 2016
MoE publication typeA4 Article in a conference publication
EventIEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing - Cancun, Mexico
Duration: 13 Dec 201516 Dec 2015
Conference number: 6
http://inspire.rutgers.edu/camsap2015/

Workshop

WorkshopIEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing
Abbreviated titleCAMSAP
CountryMexico
CityCancun
Period13/12/201516/12/2015
Internet address

Keywords

  • Waveform separation, synthetic aperture radar, multiple–input multiple–output radar, orthogonal frequency division multiplexing

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