Efficient Method of Passive Localization for Near-Field Noncircular Sources

Jian Xie; Haihong Tao; Xuan Rao; Jia Su

doi:10.1109/LAWP.2015.2399534

Efficient Method of Passive Localization for Near-Field Noncircular Sources

Jian Xie, Haihong Tao, Xuan Rao, Jia Su

Research output: Contribution to journal › Article › peer-review

48 Scopus citations

Abstract

In this letter, a novel near-field localization algorithm for noncircular sources is proposed using the uniform linear array (ULA). Firstly, an extended covariance matrix is constructed and decomposed to generate the corresponding extended signal subspace and noise subspace. Then, based on the symmetric property of the extended array manifold, the direction-of-arrival (DOA) estimates are obtained via generalized ESPRIT. Finally, the range spectrum function is derived, and the range parameters are consequently estimated through one-dimensional (1-D) search. The proposed algorithm is efficient in that it only requires second-order statistics (SOS) and 1-D spectral search. In addition, compared with the conventional SOS-based methods, the proposed algorithm can improve the estimation accuracy and resolve more sources. Simulation results are presented to validate the performance of the proposed algorithm.

Original language	English
Article number	7029659
Pages (from-to)	1223-1226
Number of pages	4
Journal	IEEE Antennas and Wireless Propagation Letters
Volume	14
DOIs	https://doi.org/10.1109/LAWP.2015.2399534
State	Published - 11 Mar 2015
Externally published	Yes

Keywords

DOA estimation
near field
noncircular sources
range estimation

Access to Document

10.1109/LAWP.2015.2399534

Cite this

@article{9a32200bc37849d0bcaf25143dc1ffed,

title = "Efficient Method of Passive Localization for Near-Field Noncircular Sources",

abstract = "In this letter, a novel near-field localization algorithm for noncircular sources is proposed using the uniform linear array (ULA). Firstly, an extended covariance matrix is constructed and decomposed to generate the corresponding extended signal subspace and noise subspace. Then, based on the symmetric property of the extended array manifold, the direction-of-arrival (DOA) estimates are obtained via generalized ESPRIT. Finally, the range spectrum function is derived, and the range parameters are consequently estimated through one-dimensional (1-D) search. The proposed algorithm is efficient in that it only requires second-order statistics (SOS) and 1-D spectral search. In addition, compared with the conventional SOS-based methods, the proposed algorithm can improve the estimation accuracy and resolve more sources. Simulation results are presented to validate the performance of the proposed algorithm.",

keywords = "DOA estimation, near field, noncircular sources, range estimation",

author = "Jian Xie and Haihong Tao and Xuan Rao and Jia Su",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.",

year = "2015",

month = mar,

day = "11",

doi = "10.1109/LAWP.2015.2399534",

language = "英语",

volume = "14",

pages = "1223--1226",

journal = "IEEE Antennas and Wireless Propagation Letters",

issn = "1536-1225",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

}

TY - JOUR

T1 - Efficient Method of Passive Localization for Near-Field Noncircular Sources

AU - Xie, Jian

AU - Tao, Haihong

AU - Rao, Xuan

AU - Su, Jia

PY - 2015/3/11

Y1 - 2015/3/11

N2 - In this letter, a novel near-field localization algorithm for noncircular sources is proposed using the uniform linear array (ULA). Firstly, an extended covariance matrix is constructed and decomposed to generate the corresponding extended signal subspace and noise subspace. Then, based on the symmetric property of the extended array manifold, the direction-of-arrival (DOA) estimates are obtained via generalized ESPRIT. Finally, the range spectrum function is derived, and the range parameters are consequently estimated through one-dimensional (1-D) search. The proposed algorithm is efficient in that it only requires second-order statistics (SOS) and 1-D spectral search. In addition, compared with the conventional SOS-based methods, the proposed algorithm can improve the estimation accuracy and resolve more sources. Simulation results are presented to validate the performance of the proposed algorithm.

AB - In this letter, a novel near-field localization algorithm for noncircular sources is proposed using the uniform linear array (ULA). Firstly, an extended covariance matrix is constructed and decomposed to generate the corresponding extended signal subspace and noise subspace. Then, based on the symmetric property of the extended array manifold, the direction-of-arrival (DOA) estimates are obtained via generalized ESPRIT. Finally, the range spectrum function is derived, and the range parameters are consequently estimated through one-dimensional (1-D) search. The proposed algorithm is efficient in that it only requires second-order statistics (SOS) and 1-D spectral search. In addition, compared with the conventional SOS-based methods, the proposed algorithm can improve the estimation accuracy and resolve more sources. Simulation results are presented to validate the performance of the proposed algorithm.

KW - DOA estimation

KW - near field

KW - noncircular sources

KW - range estimation

UR - http://www.scopus.com/inward/record.url?scp=84924769433&partnerID=8YFLogxK

U2 - 10.1109/LAWP.2015.2399534

DO - 10.1109/LAWP.2015.2399534

M3 - 文章

AN - SCOPUS:84924769433

SN - 1536-1225

VL - 14

SP - 1223

EP - 1226

JO - IEEE Antennas and Wireless Propagation Letters

JF - IEEE Antennas and Wireless Propagation Letters

M1 - 7029659

ER -

Efficient Method of Passive Localization for Near-Field Noncircular Sources

Abstract

Keywords

Access to Document

Other files and links

Fingerprint

Cite this