A multichannel cross-spectrum density estimator based on canonical correlation analysis

Xiaoli Wang; Hongya Ge

doi:10.1109/SAM.2012.6250558

A multichannel cross-spectrum density estimator based on canonical correlation analysis

Xiaoli Wang, Hongya Ge

Electrical and Computer Engineering

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

Abstract

In this work, the problem of multichannel cross-spectrum density (MCSD) estimation is studied. Based on a multichannel data model, the classic periodogram based MCSD estimator and the minimum variance (MV) based MCSD estimator are tested for cross-spectrum density estimation. Our major contribution in this work is a canonical correlation analysis (CCA) based MCSD estimator, relying on the inherent maximization arguments of CCA. It is demonstrated through a model based multichannel simulation example that the newly proposed CCA-MCSD estimator is of high frequency resolution as well as good sidelobe suppression properties, and can serve as an excellent candidate for MCSD estimation.

Original language	English (US)
Title of host publication	2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
Pages	533-536
Number of pages	4
DOIs	https://doi.org/10.1109/SAM.2012.6250558
State	Published - 2012
Event	2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012 - Hoboken, NJ, United States Duration: Jun 17 2012 → Jun 20 2012

Publication series

Name	Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop
ISSN (Electronic)	2151-870X

Other

Other	2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012
Country/Territory	United States
City	Hoboken, NJ
Period	6/17/12 → 6/20/12

All Science Journal Classification (ASJC) codes

Signal Processing
Control and Systems Engineering
Electrical and Electronic Engineering

Access to Document

10.1109/SAM.2012.6250558

Cite this

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title = "A multichannel cross-spectrum density estimator based on canonical correlation analysis",

abstract = "In this work, the problem of multichannel cross-spectrum density (MCSD) estimation is studied. Based on a multichannel data model, the classic periodogram based MCSD estimator and the minimum variance (MV) based MCSD estimator are tested for cross-spectrum density estimation. Our major contribution in this work is a canonical correlation analysis (CCA) based MCSD estimator, relying on the inherent maximization arguments of CCA. It is demonstrated through a model based multichannel simulation example that the newly proposed CCA-MCSD estimator is of high frequency resolution as well as good sidelobe suppression properties, and can serve as an excellent candidate for MCSD estimation.",

author = "Xiaoli Wang and Hongya Ge",

year = "2012",

doi = "10.1109/SAM.2012.6250558",

language = "English (US)",

isbn = "9781467310710",

series = "Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop",

pages = "533--536",

booktitle = "2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012",

note = "2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012 ; Conference date: 17-06-2012 Through 20-06-2012",

}

Wang, X & Ge, H 2012, A multichannel cross-spectrum density estimator based on canonical correlation analysis. in 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012., 6250558, Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop, pp. 533-536, 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012, Hoboken, NJ, United States, 6/17/12. https://doi.org/10.1109/SAM.2012.6250558

A multichannel cross-spectrum density estimator based on canonical correlation analysis. / Wang, Xiaoli; Ge, Hongya.
2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012. 2012. p. 533-536 6250558 (Proceedings of the IEEE Sensor Array and Multichannel Signal Processing Workshop).

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

TY - GEN

T1 - A multichannel cross-spectrum density estimator based on canonical correlation analysis

AU - Wang, Xiaoli

AU - Ge, Hongya

PY - 2012

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N2 - In this work, the problem of multichannel cross-spectrum density (MCSD) estimation is studied. Based on a multichannel data model, the classic periodogram based MCSD estimator and the minimum variance (MV) based MCSD estimator are tested for cross-spectrum density estimation. Our major contribution in this work is a canonical correlation analysis (CCA) based MCSD estimator, relying on the inherent maximization arguments of CCA. It is demonstrated through a model based multichannel simulation example that the newly proposed CCA-MCSD estimator is of high frequency resolution as well as good sidelobe suppression properties, and can serve as an excellent candidate for MCSD estimation.

AB - In this work, the problem of multichannel cross-spectrum density (MCSD) estimation is studied. Based on a multichannel data model, the classic periodogram based MCSD estimator and the minimum variance (MV) based MCSD estimator are tested for cross-spectrum density estimation. Our major contribution in this work is a canonical correlation analysis (CCA) based MCSD estimator, relying on the inherent maximization arguments of CCA. It is demonstrated through a model based multichannel simulation example that the newly proposed CCA-MCSD estimator is of high frequency resolution as well as good sidelobe suppression properties, and can serve as an excellent candidate for MCSD estimation.

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BT - 2012 IEEE 7th Sensor Array and Multichannel Signal Processing Workshop, SAM 2012

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Y2 - 17 June 2012 through 20 June 2012

ER -

A multichannel cross-spectrum density estimator based on canonical correlation analysis

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