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

Da Xie, Jianguo Huang, Tingting Niu, Hongya Ge

Research output: Chapter in Book/Report/Conference proceedingConference 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 languageEnglish (US)
Title of host publication2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success
DOIs
StatePublished - Dec 1 2008
Event2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success - Washington, DC, United States
Duration: Nov 17 2008Nov 19 2008

Other

Other2008 IEEE Military Communications Conference, MILCOM 2008 - Assuring Mission Success
CountryUnited States
CityWashington, DC
Period11/17/0811/19/08

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering

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