Direct localization of emitters based on expectation-maximization technique

Minqiu Chen; Xingpeng Mao; Chunlei Zhao

doi:10.1109/RADAR.2018.8378654

Direct localization of emitters based on expectation-maximization technique

Minqiu Chen
, Xingpeng Mao
, Chunlei Zhao

School of Electronics and Information Engineering, Harbin Institute of Technology
Science and Technology on Electronic Information Control Laboratory
Collaborative Innovation Center of Information Sensing and Understanding

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

4 Scopus citations

Abstract

In this paper, a novel method for the direct localization of emitters is proposed. To avoid synchronisation, we consider the angle-of-arrival based localization system in this work. We derive the maximum likelihood estimator for the noncoherent processing model, and solve the optimization by applying the expectation-maximization (EM) technique. Unlike the conventional 2-step processing, the proposed method retains the geometry constraint of the incident signal, and can achieve better localization performance. Besides, the novel method does not require the pairing of measurements, by taking advantages of the decoupling structure of EM. Simulation results verify the effectiveness of the proposed method.

Original language	English
Title of host publication	2018 IEEE Radar Conference, RadarConf 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	754-758
Number of pages	5
ISBN (Electronic)	9781538641675
DOIs	https://doi.org/10.1109/RADAR.2018.8378654
State	Published - 8 Jun 2018
Externally published	Yes
Event	2018 IEEE Radar Conference, RadarConf 2018 - Oklahoma City, United States Duration: 23 Apr 2018 → 27 Apr 2018

Publication series

Name	2018 IEEE Radar Conference, RadarConf 2018

Conference

Conference	2018 IEEE Radar Conference, RadarConf 2018
Country/Territory	United States
City	Oklahoma City
Period	23/04/18 → 27/04/18

Keywords

angle-of-arrival
direct localization of emitters
expectation-maximization
maximum likelihood

Access to Document

10.1109/RADAR.2018.8378654

Cite this

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title = "Direct localization of emitters based on expectation-maximization technique",

abstract = "In this paper, a novel method for the direct localization of emitters is proposed. To avoid synchronisation, we consider the angle-of-arrival based localization system in this work. We derive the maximum likelihood estimator for the noncoherent processing model, and solve the optimization by applying the expectation-maximization (EM) technique. Unlike the conventional 2-step processing, the proposed method retains the geometry constraint of the incident signal, and can achieve better localization performance. Besides, the novel method does not require the pairing of measurements, by taking advantages of the decoupling structure of EM. Simulation results verify the effectiveness of the proposed method.",

keywords = "angle-of-arrival, direct localization of emitters, expectation-maximization, maximum likelihood",

author = "Minqiu Chen and Xingpeng Mao and Chunlei Zhao",

note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 2018 IEEE Radar Conference, RadarConf 2018 ; Conference date: 23-04-2018 Through 27-04-2018",

year = "2018",

month = jun,

day = "8",

doi = "10.1109/RADAR.2018.8378654",

language = "英语",

series = "2018 IEEE Radar Conference, RadarConf 2018",

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

pages = "754--758",

booktitle = "2018 IEEE Radar Conference, RadarConf 2018",

address = "美国",

}

Chen, M, Mao, X & Zhao, C 2018, Direct localization of emitters based on expectation-maximization technique. in 2018 IEEE Radar Conference, RadarConf 2018. 2018 IEEE Radar Conference, RadarConf 2018, Institute of Electrical and Electronics Engineers Inc., pp. 754-758, 2018 IEEE Radar Conference, RadarConf 2018, Oklahoma City, United States, 23/04/18. https://doi.org/10.1109/RADAR.2018.8378654

Direct localization of emitters based on expectation-maximization technique. / Chen, Minqiu; Mao, Xingpeng; Zhao, Chunlei.
2018 IEEE Radar Conference, RadarConf 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 754-758 (2018 IEEE Radar Conference, RadarConf 2018).

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

TY - GEN

T1 - Direct localization of emitters based on expectation-maximization technique

AU - Chen, Minqiu

AU - Mao, Xingpeng

AU - Zhao, Chunlei

PY - 2018/6/8

Y1 - 2018/6/8

N2 - In this paper, a novel method for the direct localization of emitters is proposed. To avoid synchronisation, we consider the angle-of-arrival based localization system in this work. We derive the maximum likelihood estimator for the noncoherent processing model, and solve the optimization by applying the expectation-maximization (EM) technique. Unlike the conventional 2-step processing, the proposed method retains the geometry constraint of the incident signal, and can achieve better localization performance. Besides, the novel method does not require the pairing of measurements, by taking advantages of the decoupling structure of EM. Simulation results verify the effectiveness of the proposed method.

AB - In this paper, a novel method for the direct localization of emitters is proposed. To avoid synchronisation, we consider the angle-of-arrival based localization system in this work. We derive the maximum likelihood estimator for the noncoherent processing model, and solve the optimization by applying the expectation-maximization (EM) technique. Unlike the conventional 2-step processing, the proposed method retains the geometry constraint of the incident signal, and can achieve better localization performance. Besides, the novel method does not require the pairing of measurements, by taking advantages of the decoupling structure of EM. Simulation results verify the effectiveness of the proposed method.

KW - angle-of-arrival

KW - direct localization of emitters

KW - expectation-maximization

KW - maximum likelihood

UR - https://www.scopus.com/pages/publications/85049980996

U2 - 10.1109/RADAR.2018.8378654

DO - 10.1109/RADAR.2018.8378654

M3 - 会议稿件

AN - SCOPUS:85049980996

T3 - 2018 IEEE Radar Conference, RadarConf 2018

SP - 754

EP - 758

BT - 2018 IEEE Radar Conference, RadarConf 2018

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2018 IEEE Radar Conference, RadarConf 2018

Y2 - 23 April 2018 through 27 April 2018

ER -

Direct localization of emitters based on expectation-maximization technique

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Keywords

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