Reduction of snapshots for MIMO radar detection by block/group orthogonal matching pursuit

Hussain El Hosiny Ali, Sajid Ahmed, Tareq Y. Al-Naffouri, Mohamed-Slim Alouini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Multiple-input multiple-output (MIMO) radar works on the principle of transmission of independent waveforms at each element of its antenna array and is widely used for surveillance purposes. In this work, we investigate MIMO radar target localization problem with compressive sensing. Specifically, we try to solve the problem of estimation of target location in MIMO radar by group and block sparsity algorithms. It will lead us to a reduced number of snapshots required and also we can achieve better radar resolution. We will use group orthogonal matching pursuit (GOMP) and block orthogonal matching pursuit (BOMP) for our problem. © 2014 IEEE.
Original languageEnglish (US)
Title of host publication2014 International Radar Conference
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
ISBN (Print)9781479941957
DOIs
StatePublished - Oct 2014

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