Joint Parameters Estimation Using 3D Tensor MUSIC in the Presence of Phase Residual

Shengzhi Xu, Alexander Yarovoy

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)
20 Downloads (Pure)

Abstract

This paper investigates the joint range, Doppler and Direction-of-Arrival (DOA) estimation with a wideband phased array in the presence of phase residual which brought by the range-Doppler couplings. 3D MUSIC algorithm is adopted and a compensation approach is proposed to eliminate the influence of the phase residual on the estimation accuracy. Tensor Decomposition (TD) is applied to obtain the noise subspace. Therefore, the spatial smoothing technique can be avoided. Simulation data validate the improvement of joint parameters estimation performance using the proposed method.

Original languageEnglish
Title of host publication2018 International Conference on Radar, RADAR 2018
EditorsVaughan Clarkson
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages4
ISBN (Electronic)978-153867217-4
DOIs
Publication statusPublished - 2018
Event2018 International Conference on Radar, RADAR 2018 - Brisbane, Australia
Duration: 27 Aug 201831 Aug 2018

Conference

Conference2018 International Conference on Radar, RADAR 2018
CountryAustralia
CityBrisbane
Period27/08/1831/08/18

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