An accurate TDOA-AOA localization method using structured total least squares

Tianyi Jia; Haiyan Wang; Xiaohong Shen; Jingjie Gao; Xi Liu

doi:10.1109/OCEANSE.2017.8084582

An accurate TDOA-AOA localization method using structured total least squares

Tianyi Jia, Haiyan Wang, Xiaohong Shen, Jingjie Gao, Xi Liu

School of Marine Science and Technology

Northwestern Polytechnical University Xian

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

12 Scopus citations

Abstract

This paper focuses on the source localization based on structured total least squares (STLS) method with hybrid TDOA-AOA measurements. First, A pseudolinear system of equations is constructed from the TDOA-AOA measurements. Considering the matrix and vector in the constructed pseudolinear system are both contaminated by the measurement noise, the STLS method which utilizes the structure of the matrix is proposed to alleviate the severe bias problems associated with the traditional pseudolinear estimator. The proposed method can reduce the impact of noise terms. Numerical results demonstrate that the proposed STLS can reduce the bias of the estimate. In addition, the performance of STLS method is better than that of traditional LS method.

Original language	English
Title of host publication	OCEANS 2017 - Aberdeen
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-6
Number of pages	6
ISBN (Electronic)	9781509052783
DOIs	https://doi.org/10.1109/OCEANSE.2017.8084582
State	Published - 25 Oct 2017
Event	OCEANS 2017 - Aberdeen - Aberdeen, United Kingdom Duration: 19 Jun 2017 → 22 Jun 2017

Publication series

Name	OCEANS 2017 - Aberdeen
Volume	2017-October

Conference

Conference	OCEANS 2017 - Aberdeen
Country/Territory	United Kingdom
City	Aberdeen
Period	19/06/17 → 22/06/17

Access to Document

10.1109/OCEANSE.2017.8084582

Cite this

@inproceedings{f89f340447ea44f59ed3c5175d2e4e93,

title = "An accurate TDOA-AOA localization method using structured total least squares",

abstract = "This paper focuses on the source localization based on structured total least squares (STLS) method with hybrid TDOA-AOA measurements. First, A pseudolinear system of equations is constructed from the TDOA-AOA measurements. Considering the matrix and vector in the constructed pseudolinear system are both contaminated by the measurement noise, the STLS method which utilizes the structure of the matrix is proposed to alleviate the severe bias problems associated with the traditional pseudolinear estimator. The proposed method can reduce the impact of noise terms. Numerical results demonstrate that the proposed STLS can reduce the bias of the estimate. In addition, the performance of STLS method is better than that of traditional LS method.",

author = "Tianyi Jia and Haiyan Wang and Xiaohong Shen and Jingjie Gao and Xi Liu",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; OCEANS 2017 - Aberdeen ; Conference date: 19-06-2017 Through 22-06-2017",

year = "2017",

month = oct,

day = "25",

doi = "10.1109/OCEANSE.2017.8084582",

language = "英语",

series = "OCEANS 2017 - Aberdeen",

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

pages = "1--6",

booktitle = "OCEANS 2017 - Aberdeen",

}

An accurate TDOA-AOA localization method using structured total least squares. / Jia, Tianyi; Wang, Haiyan; Shen, Xiaohong et al.
OCEANS 2017 - Aberdeen. Institute of Electrical and Electronics Engineers Inc., 2017. p. 1-6 (OCEANS 2017 - Aberdeen; Vol. 2017-October).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - An accurate TDOA-AOA localization method using structured total least squares

AU - Jia, Tianyi

AU - Wang, Haiyan

AU - Shen, Xiaohong

AU - Gao, Jingjie

AU - Liu, Xi

PY - 2017/10/25

Y1 - 2017/10/25

N2 - This paper focuses on the source localization based on structured total least squares (STLS) method with hybrid TDOA-AOA measurements. First, A pseudolinear system of equations is constructed from the TDOA-AOA measurements. Considering the matrix and vector in the constructed pseudolinear system are both contaminated by the measurement noise, the STLS method which utilizes the structure of the matrix is proposed to alleviate the severe bias problems associated with the traditional pseudolinear estimator. The proposed method can reduce the impact of noise terms. Numerical results demonstrate that the proposed STLS can reduce the bias of the estimate. In addition, the performance of STLS method is better than that of traditional LS method.

AB - This paper focuses on the source localization based on structured total least squares (STLS) method with hybrid TDOA-AOA measurements. First, A pseudolinear system of equations is constructed from the TDOA-AOA measurements. Considering the matrix and vector in the constructed pseudolinear system are both contaminated by the measurement noise, the STLS method which utilizes the structure of the matrix is proposed to alleviate the severe bias problems associated with the traditional pseudolinear estimator. The proposed method can reduce the impact of noise terms. Numerical results demonstrate that the proposed STLS can reduce the bias of the estimate. In addition, the performance of STLS method is better than that of traditional LS method.

UR - http://www.scopus.com/inward/record.url?scp=85044748599&partnerID=8YFLogxK

U2 - 10.1109/OCEANSE.2017.8084582

DO - 10.1109/OCEANSE.2017.8084582

M3 - 会议稿件

AN - SCOPUS:85044748599

T3 - OCEANS 2017 - Aberdeen

SP - 1

EP - 6

BT - OCEANS 2017 - Aberdeen

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - OCEANS 2017 - Aberdeen

Y2 - 19 June 2017 through 22 June 2017

ER -

An accurate TDOA-AOA localization method using structured total least squares

Abstract

Publication series

Conference

Access to Document

Other files and links

Fingerprint

Cite this