Subspace method to estimate parameters of wideband polynomial-phase signals in sensor arrays

Chenlei Li; Mei Liu; Pengfei Wang; He Wang

doi:10.1109/ICEDIF.2015.7280187

Subspace method to estimate parameters of wideband polynomial-phase signals in sensor arrays

Chenlei Li
, Mei Liu^*
, Pengfei Wang
, He Wang

^*此作品的通讯作者

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

5 引用（Scopus）

摘要

A novel subspace method for estimating the parameters of wideband polynomial-phase signals (PPSs) in sensor arrays that exploits the characteristics of the high-order instantaneous moment (HIM) to form a model of signals received by an array is presented. The super-resolution and robustness of subspace theory is employed to estimate the direction of arrival (DOA) and coefficients of the Kth-order PPS. This method, which has lower computational complexity than maximum likelihood (ML), can reduce error propagation and provide more precise estimation than conventional high-order ambiguity function (HAF) methods, as demonstrated by simulation results.

源语言	英语
主期刊名	Proceedings of 2015 International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015
出版商	Institute of Electrical and Electronics Engineers Inc.
页	186-189
页数	4
ISBN（电子版）	9781479964178
DOI	https://doi.org/10.1109/ICEDIF.2015.7280187
出版状态	已出版 - 28 9月 2015
已对外发布	是
活动	International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015 - Harbin, 中国期限: 10 1月 2015 → 11 1月 2015

出版系列

姓名	Proceedings of 2015 International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015

会议

会议	International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015
国家/地区	中国
市	Harbin
时期	10/01/15 → 11/01/15

访问文件

10.1109/ICEDIF.2015.7280187

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引用此

Li, C., Liu, M., Wang, P., & Wang, H. (2015). Subspace method to estimate parameters of wideband polynomial-phase signals in sensor arrays. 在 Proceedings of 2015 International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015 (页码 186-189). 文章 7280187 (Proceedings of 2015 International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICEDIF.2015.7280187

Li, Chenlei ; Liu, Mei ; Wang, Pengfei 等. / Subspace method to estimate parameters of wideband polynomial-phase signals in sensor arrays. Proceedings of 2015 International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 页码 186-189 (Proceedings of 2015 International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015).

@inproceedings{91f72ed5c1764c22a2ac88c3623aca13,

title = "Subspace method to estimate parameters of wideband polynomial-phase signals in sensor arrays",

abstract = "A novel subspace method for estimating the parameters of wideband polynomial-phase signals (PPSs) in sensor arrays that exploits the characteristics of the high-order instantaneous moment (HIM) to form a model of signals received by an array is presented. The super-resolution and robustness of subspace theory is employed to estimate the direction of arrival (DOA) and coefficients of the Kth-order PPS. This method, which has lower computational complexity than maximum likelihood (ML), can reduce error propagation and provide more precise estimation than conventional high-order ambiguity function (HAF) methods, as demonstrated by simulation results.",

keywords = "Direction of arrival (DOA), High-order instantaneous moment (HIM), Polynomial-phase signal (PPS), Subspace",

author = "Chenlei Li and Mei Liu and Pengfei Wang and He Wang",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015 ; Conference date: 10-01-2015 Through 11-01-2015",

year = "2015",

month = sep,

day = "28",

doi = "10.1109/ICEDIF.2015.7280187",

language = "英语",

series = "Proceedings of 2015 International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015",

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

pages = "186--189",

booktitle = "Proceedings of 2015 International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015",

address = "美国",

}

Li, C, Liu, M, Wang, P & Wang, H 2015, Subspace method to estimate parameters of wideband polynomial-phase signals in sensor arrays. 在 Proceedings of 2015 International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015., 7280187, Proceedings of 2015 International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015, Institute of Electrical and Electronics Engineers Inc., 页码 186-189, International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015, Harbin, 中国, 10/01/15. https://doi.org/10.1109/ICEDIF.2015.7280187

Subspace method to estimate parameters of wideband polynomial-phase signals in sensor arrays. / Li, Chenlei; Liu, Mei; Wang, Pengfei 等.
Proceedings of 2015 International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 页码 186-189 7280187 (Proceedings of 2015 International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015).

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

TY - GEN

T1 - Subspace method to estimate parameters of wideband polynomial-phase signals in sensor arrays

AU - Li, Chenlei

AU - Liu, Mei

AU - Wang, Pengfei

AU - Wang, He

PY - 2015/9/28

Y1 - 2015/9/28

N2 - A novel subspace method for estimating the parameters of wideband polynomial-phase signals (PPSs) in sensor arrays that exploits the characteristics of the high-order instantaneous moment (HIM) to form a model of signals received by an array is presented. The super-resolution and robustness of subspace theory is employed to estimate the direction of arrival (DOA) and coefficients of the Kth-order PPS. This method, which has lower computational complexity than maximum likelihood (ML), can reduce error propagation and provide more precise estimation than conventional high-order ambiguity function (HAF) methods, as demonstrated by simulation results.

AB - A novel subspace method for estimating the parameters of wideband polynomial-phase signals (PPSs) in sensor arrays that exploits the characteristics of the high-order instantaneous moment (HIM) to form a model of signals received by an array is presented. The super-resolution and robustness of subspace theory is employed to estimate the direction of arrival (DOA) and coefficients of the Kth-order PPS. This method, which has lower computational complexity than maximum likelihood (ML), can reduce error propagation and provide more precise estimation than conventional high-order ambiguity function (HAF) methods, as demonstrated by simulation results.

KW - Direction of arrival (DOA)

KW - High-order instantaneous moment (HIM)

KW - Polynomial-phase signal (PPS)

KW - Subspace

UR - https://www.scopus.com/pages/publications/84963509926

U2 - 10.1109/ICEDIF.2015.7280187

DO - 10.1109/ICEDIF.2015.7280187

M3 - 会议稿件

AN - SCOPUS:84963509926

T3 - Proceedings of 2015 International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015

SP - 186

EP - 189

BT - Proceedings of 2015 International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015

Y2 - 10 January 2015 through 11 January 2015

ER -

Li C, Liu M, Wang P, Wang H. Subspace method to estimate parameters of wideband polynomial-phase signals in sensor arrays. 在 Proceedings of 2015 International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 页码 186-189. 7280187. (Proceedings of 2015 International Conference on Estimation, Detection and Information Fusion, ICEDIF 2015). doi: 10.1109/ICEDIF.2015.7280187

Subspace method to estimate parameters of wideband polynomial-phase signals in sensor arrays

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