Calibration of intersubarray displacement errors based on Sparse Bayesian Inference

Zhixiong Lei; Yang Shi; Kunde Yang; Yuangliang Ma

doi:10.1109/OCEANS.2016.7761169

Calibration of intersubarray displacement errors based on Sparse Bayesian Inference

Zhixiong Lei, Yang Shi, Kunde Yang, Yuangliang Ma

Ocean Institute

Northwestern Polytechnical University Xian

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

Abstract

The self calibration of intersubarray displacements errors is addressed in this paper. The array model for a linear array with intersubarray displacement errors is expressed using its first order approximation. The displacement errors and the azimuths of the sources can be estimated through alternating maximizing the log likelihood functions of these parameters, while it needs the prior information of the source number. When the source number is not known, the approximation model is used in the Sparse Bayesian Inference framework, assuming the sources are sparse and the variances of the signal and noise are controlled by hyper-parameters. Numeric simulations illustrate performances of the displacement-error estimation and the azimuth estimation.

Original language	English
Title of host publication	OCEANS 2016 MTS/IEEE Monterey, OCE 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509015375
DOIs	https://doi.org/10.1109/OCEANS.2016.7761169
State	Published - 28 Nov 2016
Event	2016 OCEANS MTS/IEEE Monterey, OCE 2016 - Monterey, United States Duration: 19 Sep 2016 → 23 Sep 2016

Publication series

Name	OCEANS 2016 MTS/IEEE Monterey, OCE 2016

Conference

Conference	2016 OCEANS MTS/IEEE Monterey, OCE 2016
Country/Territory	United States
City	Monterey
Period	19/09/16 → 23/09/16

Keywords

Direction of arrival
Self calibration
Sparse Bayesian Inference

Access to Document

10.1109/OCEANS.2016.7761169

Cite this

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title = "Calibration of intersubarray displacement errors based on Sparse Bayesian Inference",

abstract = "The self calibration of intersubarray displacements errors is addressed in this paper. The array model for a linear array with intersubarray displacement errors is expressed using its first order approximation. The displacement errors and the azimuths of the sources can be estimated through alternating maximizing the log likelihood functions of these parameters, while it needs the prior information of the source number. When the source number is not known, the approximation model is used in the Sparse Bayesian Inference framework, assuming the sources are sparse and the variances of the signal and noise are controlled by hyper-parameters. Numeric simulations illustrate performances of the displacement-error estimation and the azimuth estimation.",

keywords = "Direction of arrival, Self calibration, Sparse Bayesian Inference",

author = "Zhixiong Lei and Yang Shi and Kunde Yang and Yuangliang Ma",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 OCEANS MTS/IEEE Monterey, OCE 2016 ; Conference date: 19-09-2016 Through 23-09-2016",

year = "2016",

month = nov,

day = "28",

doi = "10.1109/OCEANS.2016.7761169",

language = "英语",

series = "OCEANS 2016 MTS/IEEE Monterey, OCE 2016",

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

booktitle = "OCEANS 2016 MTS/IEEE Monterey, OCE 2016",

}

Lei, Z, Shi, Y, Yang, K & Ma, Y 2016, Calibration of intersubarray displacement errors based on Sparse Bayesian Inference. in OCEANS 2016 MTS/IEEE Monterey, OCE 2016., 7761169, OCEANS 2016 MTS/IEEE Monterey, OCE 2016, Institute of Electrical and Electronics Engineers Inc., 2016 OCEANS MTS/IEEE Monterey, OCE 2016, Monterey, United States, 19/09/16. https://doi.org/10.1109/OCEANS.2016.7761169

Calibration of intersubarray displacement errors based on Sparse Bayesian Inference. / Lei, Zhixiong; Shi, Yang; Yang, Kunde et al.
OCEANS 2016 MTS/IEEE Monterey, OCE 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7761169 (OCEANS 2016 MTS/IEEE Monterey, OCE 2016).

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

TY - GEN

T1 - Calibration of intersubarray displacement errors based on Sparse Bayesian Inference

AU - Lei, Zhixiong

AU - Shi, Yang

AU - Yang, Kunde

AU - Ma, Yuangliang

PY - 2016/11/28

Y1 - 2016/11/28

N2 - The self calibration of intersubarray displacements errors is addressed in this paper. The array model for a linear array with intersubarray displacement errors is expressed using its first order approximation. The displacement errors and the azimuths of the sources can be estimated through alternating maximizing the log likelihood functions of these parameters, while it needs the prior information of the source number. When the source number is not known, the approximation model is used in the Sparse Bayesian Inference framework, assuming the sources are sparse and the variances of the signal and noise are controlled by hyper-parameters. Numeric simulations illustrate performances of the displacement-error estimation and the azimuth estimation.

AB - The self calibration of intersubarray displacements errors is addressed in this paper. The array model for a linear array with intersubarray displacement errors is expressed using its first order approximation. The displacement errors and the azimuths of the sources can be estimated through alternating maximizing the log likelihood functions of these parameters, while it needs the prior information of the source number. When the source number is not known, the approximation model is used in the Sparse Bayesian Inference framework, assuming the sources are sparse and the variances of the signal and noise are controlled by hyper-parameters. Numeric simulations illustrate performances of the displacement-error estimation and the azimuth estimation.

KW - Direction of arrival

KW - Self calibration

KW - Sparse Bayesian Inference

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U2 - 10.1109/OCEANS.2016.7761169

DO - 10.1109/OCEANS.2016.7761169

M3 - 会议稿件

AN - SCOPUS:85006923001

T3 - OCEANS 2016 MTS/IEEE Monterey, OCE 2016

BT - OCEANS 2016 MTS/IEEE Monterey, OCE 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 OCEANS MTS/IEEE Monterey, OCE 2016

Y2 - 19 September 2016 through 23 September 2016

ER -

Calibration of intersubarray displacement errors based on Sparse Bayesian Inference

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Conference

Keywords

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