Near-field source localization with partly sensor gain and phase uncertainties

Weiliang Zuo; Jingmin Xin; Guangmin Wang; Jiasong Wang; Nanning Zheng; Akira Sano

doi:10.1109/SPAWC.2014.6941357

Near-field source localization with partly sensor gain and phase uncertainties

Weiliang Zuo
, Jingmin Xin
, Guangmin Wang
, Jiasong Wang
, Nanning Zheng
, Akira Sano

College of Artificial Intelligence and Robotics

Xi'an Jiaotong University
State Key Laboratory of Astronautic Dynamics
Keio University

Research output: Contribution to conference › Paper › peer-review

7 Scopus citations

Abstract

In this paper, we consider the source localization for the multiple near-field narrowband signals impinging on a uniform linear array (ULA) with partly gain and phase uncertainties. By dividing the ULA into two overlapped symmetric subarrays and assuming that they have partly unknown gain and phase responses but correspondingly identical, a new modified generalized ESPRIT based method is presented, in which the direction of arrival (DOA) and range are estimated separately. Moreover, we prove that the proposed method is equivalent to the spectral Fresnel-region rank reduction (FR-RARE) [15] method, but more computationally efficient than it. The simulations demonstrate the effectiveness of the proposed method.

Original language	English
Pages	160-164
Number of pages	5
DOIs	https://doi.org/10.1109/SPAWC.2014.6941357
State	Published - 31 Oct 2014
Event	2014 15th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2014 - Toronto, Canada Duration: 22 Jun 2014 → 25 Jun 2014

Conference

Conference	2014 15th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2014
Country/Territory	Canada
City	Toronto
Period	22/06/14 → 25/06/14

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10.1109/SPAWC.2014.6941357

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title = "Near-field source localization with partly sensor gain and phase uncertainties",

abstract = "In this paper, we consider the source localization for the multiple near-field narrowband signals impinging on a uniform linear array (ULA) with partly gain and phase uncertainties. By dividing the ULA into two overlapped symmetric subarrays and assuming that they have partly unknown gain and phase responses but correspondingly identical, a new modified generalized ESPRIT based method is presented, in which the direction of arrival (DOA) and range are estimated separately. Moreover, we prove that the proposed method is equivalent to the spectral Fresnel-region rank reduction (FR-RARE) [15] method, but more computationally efficient than it. The simulations demonstrate the effectiveness of the proposed method.",

author = "Weiliang Zuo and Jingmin Xin and Guangmin Wang and Jiasong Wang and Nanning Zheng and Akira Sano",

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T1 - Near-field source localization with partly sensor gain and phase uncertainties

AU - Zuo, Weiliang

AU - Xin, Jingmin

AU - Wang, Guangmin

AU - Wang, Jiasong

AU - Zheng, Nanning

AU - Sano, Akira

PY - 2014/10/31

Y1 - 2014/10/31

N2 - In this paper, we consider the source localization for the multiple near-field narrowband signals impinging on a uniform linear array (ULA) with partly gain and phase uncertainties. By dividing the ULA into two overlapped symmetric subarrays and assuming that they have partly unknown gain and phase responses but correspondingly identical, a new modified generalized ESPRIT based method is presented, in which the direction of arrival (DOA) and range are estimated separately. Moreover, we prove that the proposed method is equivalent to the spectral Fresnel-region rank reduction (FR-RARE) [15] method, but more computationally efficient than it. The simulations demonstrate the effectiveness of the proposed method.

AB - In this paper, we consider the source localization for the multiple near-field narrowband signals impinging on a uniform linear array (ULA) with partly gain and phase uncertainties. By dividing the ULA into two overlapped symmetric subarrays and assuming that they have partly unknown gain and phase responses but correspondingly identical, a new modified generalized ESPRIT based method is presented, in which the direction of arrival (DOA) and range are estimated separately. Moreover, we prove that the proposed method is equivalent to the spectral Fresnel-region rank reduction (FR-RARE) [15] method, but more computationally efficient than it. The simulations demonstrate the effectiveness of the proposed method.

UR - https://www.scopus.com/pages/publications/84932637490

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DO - 10.1109/SPAWC.2014.6941357

M3 - 论文

AN - SCOPUS:84932637490

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T2 - 2014 15th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2014

Y2 - 22 June 2014 through 25 June 2014

ER -

Near-field source localization with partly sensor gain and phase uncertainties

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