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Author:

Duan, Haiwei (Duan, Haiwei.) | Bao, Changchun (Bao, Changchun.) | Zhou, Jing (Zhou, Jing.) | Li, Wenwen (Li, Wenwen.)

Indexed by:

CPCI-S EI Scopus

Abstract:

The direction of arrival (DOA) estimation is a key problem in microphone array signal processing. The conventional DOA estimation methods usually are operated in time-frequency domain based on the steering vector, which often needs to make a balance between the time and frequency resolutions. In this paper, a Laplace distribution based DOA estimation method is proposed by using Maximum a Posterior only in time domain. In this method, a new posterior probability model for speech source is deduced through the Laplace prior distribution, which can modify the peak of posterior probability function and improve the resolution of DOA estimation. The experimental results show that the proposed method can effectively reduce the error of DOA estimation compared with the conventional methods.

Keyword:

Microphone array DOA estimation Maximum a posterior Laplace distribution

Author Community:

  • [ 1 ] [Duan, Haiwei]Beijing Univ Technol, Fac Informat Technol, Speech & Audio Signal Proc Lab, Beijing 100124, Peoples R China
  • [ 2 ] [Bao, Changchun]Beijing Univ Technol, Fac Informat Technol, Speech & Audio Signal Proc Lab, Beijing 100124, Peoples R China
  • [ 3 ] [Zhou, Jing]Beijing Univ Technol, Fac Informat Technol, Speech & Audio Signal Proc Lab, Beijing 100124, Peoples R China
  • [ 4 ] [Li, Wenwen]Beijing Univ Technol, Fac Informat Technol, Speech & Audio Signal Proc Lab, Beijing 100124, Peoples R China

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Source :

2022 16TH IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP2022), VOL 1

ISSN: 2164-5221

Year: 2022

Page: 56-60

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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