Detecting the number of sources using modified EGM

Qunfei Zhang; Yuhong Yin; Jianguo Huang

doi:10.1109/TENCON.2006.343913

Detecting the number of sources using modified EGM

Qunfei Zhang, Yuhong Yin, Jianguo Huang

School of Marine Science and Technology

Northwestern Polytechnical University Xian

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

5 Scopus citations

Abstract

In the array signal process field, to estimate the direction of arrival (DOA) of sources, it is a key problem to estimate the number of signal source correctly. Luo Jingqing proposed a set of Eigenvalue Gradient Methods[1](EGMs), which showed better performances of number-detection than traditional AIC and MDL method. However, EGMs doesn't take the false-alarm probability (PFA) into account, which causes high PFA while no source exists. In this paper, after some analysis to the average eigenvalue-gradient distribution of the pure noise auto-correlation matrix, a modification is introduced to improve the PFA performance of EGMs. Computer simulation results shows that the modification is efficient, and bring only tiny loss of number-detection probability in very low SNR.

Original language	English
Title of host publication	2006 IEEE Region 10 Conference, TENCON 2006
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Print)	1424405491, 9781424405497
DOIs	https://doi.org/10.1109/TENCON.2006.343913
State	Published - 2006
Event	2006 IEEE Region 10 Conference, TENCON 2006 - Hong Kong, China Duration: 14 Nov 2006 → 17 Nov 2006

Publication series

Name	IEEE Region 10 Annual International Conference, Proceedings/TENCON
ISSN (Print)	2159-3442
ISSN (Electronic)	2159-3450

Conference

Conference	2006 IEEE Region 10 Conference, TENCON 2006
Country/Territory	China
City	Hong Kong
Period	14/11/06 → 17/11/06

Access to Document

10.1109/TENCON.2006.343913

Cite this

@inproceedings{807dd47aae504e0b8b25e97337bc4086,

title = "Detecting the number of sources using modified EGM",

abstract = "In the array signal process field, to estimate the direction of arrival (DOA) of sources, it is a key problem to estimate the number of signal source correctly. Luo Jingqing proposed a set of Eigenvalue Gradient Methods[1](EGMs), which showed better performances of number-detection than traditional AIC and MDL method. However, EGMs doesn't take the false-alarm probability (PFA) into account, which causes high PFA while no source exists. In this paper, after some analysis to the average eigenvalue-gradient distribution of the pure noise auto-correlation matrix, a modification is introduced to improve the PFA performance of EGMs. Computer simulation results shows that the modification is efficient, and bring only tiny loss of number-detection probability in very low SNR.",

author = "Qunfei Zhang and Yuhong Yin and Jianguo Huang",

year = "2006",

doi = "10.1109/TENCON.2006.343913",

language = "英语",

isbn = "1424405491",

series = "IEEE Region 10 Annual International Conference, Proceedings/TENCON",

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

booktitle = "2006 IEEE Region 10 Conference, TENCON 2006",

note = "2006 IEEE Region 10 Conference, TENCON 2006 ; Conference date: 14-11-2006 Through 17-11-2006",

}

Zhang, Q, Yin, Y & Huang, J 2006, Detecting the number of sources using modified EGM. in 2006 IEEE Region 10 Conference, TENCON 2006., 4142544, IEEE Region 10 Annual International Conference, Proceedings/TENCON, Institute of Electrical and Electronics Engineers Inc., 2006 IEEE Region 10 Conference, TENCON 2006, Hong Kong, China, 14/11/06. https://doi.org/10.1109/TENCON.2006.343913

Detecting the number of sources using modified EGM. / Zhang, Qunfei; Yin, Yuhong; Huang, Jianguo.
2006 IEEE Region 10 Conference, TENCON 2006. Institute of Electrical and Electronics Engineers Inc., 2006. 4142544 (IEEE Region 10 Annual International Conference, Proceedings/TENCON).

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

TY - GEN

T1 - Detecting the number of sources using modified EGM

AU - Zhang, Qunfei

AU - Yin, Yuhong

AU - Huang, Jianguo

PY - 2006

Y1 - 2006

N2 - In the array signal process field, to estimate the direction of arrival (DOA) of sources, it is a key problem to estimate the number of signal source correctly. Luo Jingqing proposed a set of Eigenvalue Gradient Methods[1](EGMs), which showed better performances of number-detection than traditional AIC and MDL method. However, EGMs doesn't take the false-alarm probability (PFA) into account, which causes high PFA while no source exists. In this paper, after some analysis to the average eigenvalue-gradient distribution of the pure noise auto-correlation matrix, a modification is introduced to improve the PFA performance of EGMs. Computer simulation results shows that the modification is efficient, and bring only tiny loss of number-detection probability in very low SNR.

AB - In the array signal process field, to estimate the direction of arrival (DOA) of sources, it is a key problem to estimate the number of signal source correctly. Luo Jingqing proposed a set of Eigenvalue Gradient Methods[1](EGMs), which showed better performances of number-detection than traditional AIC and MDL method. However, EGMs doesn't take the false-alarm probability (PFA) into account, which causes high PFA while no source exists. In this paper, after some analysis to the average eigenvalue-gradient distribution of the pure noise auto-correlation matrix, a modification is introduced to improve the PFA performance of EGMs. Computer simulation results shows that the modification is efficient, and bring only tiny loss of number-detection probability in very low SNR.

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DO - 10.1109/TENCON.2006.343913

M3 - 会议稿件

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SN - 1424405491

SN - 9781424405497

T3 - IEEE Region 10 Annual International Conference, Proceedings/TENCON

BT - 2006 IEEE Region 10 Conference, TENCON 2006

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2006 IEEE Region 10 Conference, TENCON 2006

Y2 - 14 November 2006 through 17 November 2006

ER -

Detecting the number of sources using modified EGM

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