Joint detection and direction-of-arrival estimation using Bayesian method

Da Xie; Jianguo Huang; Tingting Niu; Hongya Ge

doi:10.1109/MILCOM.2008.4753292

Joint detection and direction-of-arrival estimation using Bayesian method

Da Xie, Jianguo Huang, Tingting Niu, Hongya Ge

Electrical and Computer Engineering

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

1 Scopus citations

Abstract

Maximum a posterior (MAP) estimator has been shown to perform perfectly for direction-of-arrival (DOA) under the assumption that the number of sources is known. Specifically, in this work we proposed a MAP estimator for DOA, and extend it to a new approach called DDBM for joint detection and DOA estimation simultaneously. Results of both simulation and experiment demonstrate that the proposed method outperforms the AIC and MDL for detection, and also is better than MUSIC and MiniNorm for estimation simultaneously, whereas the computational burden would not aggravate.

Original language	English (US)
Title of host publication	2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success
DOIs	https://doi.org/10.1109/MILCOM.2008.4753292
State	Published - Dec 1 2008
Event	2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success - Washington, DC, United States Duration: Nov 17 2008 → Nov 19 2008

Other

Other	2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success
Country/Territory	United States
City	Washington, DC
Period	11/17/08 → 11/19/08

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering

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10.1109/MILCOM.2008.4753292

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title = "Joint detection and direction-of-arrival estimation using Bayesian method",

abstract = "Maximum a posterior (MAP) estimator has been shown to perform perfectly for direction-of-arrival (DOA) under the assumption that the number of sources is known. Specifically, in this work we proposed a MAP estimator for DOA, and extend it to a new approach called DDBM for joint detection and DOA estimation simultaneously. Results of both simulation and experiment demonstrate that the proposed method outperforms the AIC and MDL for detection, and also is better than MUSIC and MiniNorm for estimation simultaneously, whereas the computational burden would not aggravate.",

author = "Da Xie and Jianguo Huang and Tingting Niu and Hongya Ge",

year = "2008",

month = dec,

day = "1",

doi = "10.1109/MILCOM.2008.4753292",

language = "English (US)",

isbn = "9781424426775",

booktitle = "2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success",

note = "2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success ; Conference date: 17-11-2008 Through 19-11-2008",

}

Xie, D, Huang, J, Niu, T & Ge, H 2008, Joint detection and direction-of-arrival estimation using Bayesian method. in 2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success., 4753292, 2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success, Washington, DC, United States, 11/17/08. https://doi.org/10.1109/MILCOM.2008.4753292

TY - GEN

T1 - Joint detection and direction-of-arrival estimation using Bayesian method

AU - Xie, Da

AU - Huang, Jianguo

AU - Niu, Tingting

AU - Ge, Hongya

PY - 2008/12/1

Y1 - 2008/12/1

N2 - Maximum a posterior (MAP) estimator has been shown to perform perfectly for direction-of-arrival (DOA) under the assumption that the number of sources is known. Specifically, in this work we proposed a MAP estimator for DOA, and extend it to a new approach called DDBM for joint detection and DOA estimation simultaneously. Results of both simulation and experiment demonstrate that the proposed method outperforms the AIC and MDL for detection, and also is better than MUSIC and MiniNorm for estimation simultaneously, whereas the computational burden would not aggravate.

AB - Maximum a posterior (MAP) estimator has been shown to perform perfectly for direction-of-arrival (DOA) under the assumption that the number of sources is known. Specifically, in this work we proposed a MAP estimator for DOA, and extend it to a new approach called DDBM for joint detection and DOA estimation simultaneously. Results of both simulation and experiment demonstrate that the proposed method outperforms the AIC and MDL for detection, and also is better than MUSIC and MiniNorm for estimation simultaneously, whereas the computational burden would not aggravate.

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U2 - 10.1109/MILCOM.2008.4753292

DO - 10.1109/MILCOM.2008.4753292

M3 - Conference contribution

AN - SCOPUS:62349134039

SN - 9781424426775

BT - 2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success

T2 - 2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success

Y2 - 17 November 2008 through 19 November 2008

ER -

Joint detection and direction-of-arrival estimation using Bayesian method

Abstract

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