Localization of noise sources on underwater vehicle via Chirp-Fourier processing

Feng Tian; Yi Xin Yang; Yao Zhen Wu; Long Yang

doi:10.3724/SP.J.1146.2014.00106

Localization of noise sources on underwater vehicle via Chirp-Fourier processing

Feng Tian, Yi Xin Yang, Yao Zhen Wu, Long Yang

School of Marine Science and Technology

Northwestern Polytechnical University Xian

Research output: Contribution to journal › Article › peer-review

1 Scopus citations

Abstract

The radiated noise sources of underwater vehicle can be localized by analysis of Doppler information. Then effective suppression of noise can be taken. However, traditional time-frequency methods can hardly distinguish the Doppler shift of noise sources with a single frequency. In this paper, a method of multi-Doppler signals analysis based on Chirp-Fourier transform is presented. The Doppler signal is decomposed into a sum of Linear Frequency Modulate (LFM) components, and transformed into two-dimensional frequency-modulate factor domain. Then the location of multiple noise sources can be estimated by the extracted Doppler information and the interference caused by single frequency sources can be suppressed. Computer simulation and experimental result at sea demonstrate the validity of the proposed method.

Original language	English
Pages (from-to)	2889-2895
Number of pages	7
Journal	Dianzi Yu Xinxi Xuebao/Journal of Electronics and Information Technology
Volume	36
Issue number	12
DOIs	https://doi.org/10.3724/SP.J.1146.2014.00106
State	Published - 1 Dec 2014

Keywords

Chirp-Fourier
Frequency-modulate factor domain
Localization of noise sources
transform
Underwater Doppler signal
Underwater signal processing

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10.3724/SP.J.1146.2014.00106

Cite this

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title = "Localization of noise sources on underwater vehicle via Chirp-Fourier processing",

abstract = "The radiated noise sources of underwater vehicle can be localized by analysis of Doppler information. Then effective suppression of noise can be taken. However, traditional time-frequency methods can hardly distinguish the Doppler shift of noise sources with a single frequency. In this paper, a method of multi-Doppler signals analysis based on Chirp-Fourier transform is presented. The Doppler signal is decomposed into a sum of Linear Frequency Modulate (LFM) components, and transformed into two-dimensional frequency-modulate factor domain. Then the location of multiple noise sources can be estimated by the extracted Doppler information and the interference caused by single frequency sources can be suppressed. Computer simulation and experimental result at sea demonstrate the validity of the proposed method.",

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AU - Tian, Feng

AU - Yang, Yi Xin

AU - Wu, Yao Zhen

AU - Yang, Long

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Y1 - 2014/12/1

N2 - The radiated noise sources of underwater vehicle can be localized by analysis of Doppler information. Then effective suppression of noise can be taken. However, traditional time-frequency methods can hardly distinguish the Doppler shift of noise sources with a single frequency. In this paper, a method of multi-Doppler signals analysis based on Chirp-Fourier transform is presented. The Doppler signal is decomposed into a sum of Linear Frequency Modulate (LFM) components, and transformed into two-dimensional frequency-modulate factor domain. Then the location of multiple noise sources can be estimated by the extracted Doppler information and the interference caused by single frequency sources can be suppressed. Computer simulation and experimental result at sea demonstrate the validity of the proposed method.

AB - The radiated noise sources of underwater vehicle can be localized by analysis of Doppler information. Then effective suppression of noise can be taken. However, traditional time-frequency methods can hardly distinguish the Doppler shift of noise sources with a single frequency. In this paper, a method of multi-Doppler signals analysis based on Chirp-Fourier transform is presented. The Doppler signal is decomposed into a sum of Linear Frequency Modulate (LFM) components, and transformed into two-dimensional frequency-modulate factor domain. Then the location of multiple noise sources can be estimated by the extracted Doppler information and the interference caused by single frequency sources can be suppressed. Computer simulation and experimental result at sea demonstrate the validity of the proposed method.

KW - Chirp-Fourier

KW - Frequency-modulate factor domain

KW - Localization of noise sources

KW - transform

KW - Underwater Doppler signal

KW - Underwater signal processing

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Localization of noise sources on underwater vehicle via Chirp-Fourier processing

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Keywords

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