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

Shengzhi Xu; Alexander Yarovoy

doi:10.1109/RADAR.2018.8557322

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

Microwave Sensing, Signals & Systems

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

2 Citations (Scopus)

154 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 language	English
Title of host publication	2018 International Conference on Radar, RADAR 2018
Editors	Vaughan Clarkson
Publisher	IEEE
Number of pages	4
ISBN (Electronic)	978-153867217-4
DOIs	https://doi.org/10.1109/RADAR.2018.8557322
Publication status	Published - 2018
Event	2018 International Conference on Radar, RADAR 2018 - Brisbane, Australia Duration: 27 Aug 2018 → 31 Aug 2018

Conference

Conference	2018 International Conference on Radar, RADAR 2018
Country/Territory	Australia
City	Brisbane
Period	27/08/18 → 31/08/18

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green

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10.1109/RADAR.2018.8557322

08557322Final published version, 1.4 MB

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title = "Joint Parameters Estimation Using 3D Tensor MUSIC in the Presence of Phase Residual",

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.",

author = "Shengzhi Xu and Alexander Yarovoy",

note = "green; 2018 International Conference on Radar, RADAR 2018 ; Conference date: 27-08-2018 Through 31-08-2018",

year = "2018",

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language = "English",

editor = "Clarkson, {Vaughan }",

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AU - Xu, Shengzhi

AU - Yarovoy, Alexander

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N2 - 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.

AB - 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.

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U2 - 10.1109/RADAR.2018.8557322

DO - 10.1109/RADAR.2018.8557322

M3 - Conference contribution

AN - SCOPUS:85060131703

BT - 2018 International Conference on Radar, RADAR 2018

A2 - Clarkson, Vaughan

PB - IEEE

T2 - 2018 International Conference on Radar, RADAR 2018

Y2 - 27 August 2018 through 31 August 2018

ER -

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

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