Multiple source localization using independent component analysis

Hiroshi Sawada; Ryo Mukai; Shoko Araki; Shoji Makino

doi:10.1109/APS.2005.1552745

Multiple source localization using independent component analysis

Hiroshi Sawada^*, Ryo Mukai, Shoko Araki, Shoji Makino

^*Corresponding author for this work

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

20 Citations (Scopus)

Abstract

This paper presents a method for estimating location information about multiple sources. The proposed method uses independent component analysis (ICA) as a main statistical tool. The nearfield model as well as the farfield model can be assumed in this method. As an application of the method, we show experimental results for the direction-of-arrival (DOA) estimation of three sources that were positioned 3-dimensionally.

Original language	English
Title of host publication	2005 IEEE Antennas and Propagation Society International Symposium and USNC/URSI Meeting, Digest
Pages	81-84
Number of pages	4
DOIs	https://doi.org/10.1109/APS.2005.1552745
Publication status	Published - 2005
Externally published	Yes
Event	2005 IEEE Antennas and Propagation Society International Symposium and USNC/URSI Meeting - Washington, DC, United States Duration: 2005 Jul 3 → 2005 Jul 8

Publication series

Name	IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)
Volume	4 B
ISSN (Print)	1522-3965

Conference

Conference	2005 IEEE Antennas and Propagation Society International Symposium and USNC/URSI Meeting
Country/Territory	United States
City	Washington, DC
Period	05/7/3 → 05/7/8

ASJC Scopus subject areas

Electrical and Electronic Engineering

Access to Document

10.1109/APS.2005.1552745

Cite this

Sawada, H., Mukai, R., Araki, S., & Makino, S. (2005). Multiple source localization using independent component analysis. In 2005 IEEE Antennas and Propagation Society International Symposium and USNC/URSI Meeting, Digest (pp. 81-84). [1552745] (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest); Vol. 4 B). https://doi.org/10.1109/APS.2005.1552745

Multiple source localization using independent component analysis. / Sawada, Hiroshi; Mukai, Ryo; Araki, Shoko et al.
2005 IEEE Antennas and Propagation Society International Symposium and USNC/URSI Meeting, Digest. 2005. p. 81-84 1552745 (IEEE Antennas and Propagation Society, AP-S International Symposium (Digest); Vol. 4 B).

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

Sawada, H, Mukai, R, Araki, S & Makino, S 2005, Multiple source localization using independent component analysis. in 2005 IEEE Antennas and Propagation Society International Symposium and USNC/URSI Meeting, Digest., 1552745, IEEE Antennas and Propagation Society, AP-S International Symposium (Digest), vol. 4 B, pp. 81-84, 2005 IEEE Antennas and Propagation Society International Symposium and USNC/URSI Meeting, Washington, DC, United States, 05/7/3. https://doi.org/10.1109/APS.2005.1552745

@inproceedings{599b8bc7dd0a4eee992d16a1c2caa1b7,

title = "Multiple source localization using independent component analysis",

abstract = "This paper presents a method for estimating location information about multiple sources. The proposed method uses independent component analysis (ICA) as a main statistical tool. The nearfield model as well as the farfield model can be assumed in this method. As an application of the method, we show experimental results for the direction-of-arrival (DOA) estimation of three sources that were positioned 3-dimensionally.",

author = "Hiroshi Sawada and Ryo Mukai and Shoko Araki and Shoji Makino",

year = "2005",

doi = "10.1109/APS.2005.1552745",

language = "English",

isbn = "0780388836",

series = "IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)",

pages = "81--84",

booktitle = "2005 IEEE Antennas and Propagation Society International Symposium and USNC/URSI Meeting, Digest",

note = "2005 IEEE Antennas and Propagation Society International Symposium and USNC/URSI Meeting ; Conference date: 03-07-2005 Through 08-07-2005",

}

TY - GEN

T1 - Multiple source localization using independent component analysis

AU - Sawada, Hiroshi

AU - Mukai, Ryo

AU - Araki, Shoko

AU - Makino, Shoji

PY - 2005

Y1 - 2005

N2 - This paper presents a method for estimating location information about multiple sources. The proposed method uses independent component analysis (ICA) as a main statistical tool. The nearfield model as well as the farfield model can be assumed in this method. As an application of the method, we show experimental results for the direction-of-arrival (DOA) estimation of three sources that were positioned 3-dimensionally.

AB - This paper presents a method for estimating location information about multiple sources. The proposed method uses independent component analysis (ICA) as a main statistical tool. The nearfield model as well as the farfield model can be assumed in this method. As an application of the method, we show experimental results for the direction-of-arrival (DOA) estimation of three sources that were positioned 3-dimensionally.

UR - http://www.scopus.com/inward/record.url?scp=33846924092&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=33846924092&partnerID=8YFLogxK

U2 - 10.1109/APS.2005.1552745

DO - 10.1109/APS.2005.1552745

M3 - Conference contribution

AN - SCOPUS:33846924092

SN - 0780388836

SN - 9780780388833

T3 - IEEE Antennas and Propagation Society, AP-S International Symposium (Digest)

SP - 81

EP - 84

BT - 2005 IEEE Antennas and Propagation Society International Symposium and USNC/URSI Meeting, Digest

T2 - 2005 IEEE Antennas and Propagation Society International Symposium and USNC/URSI Meeting

Y2 - 3 July 2005 through 8 July 2005

ER -

Multiple source localization using independent component analysis

Abstract

Publication series

Conference

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this