Widely Linear Adaptive Instantaneous Frequency Estimation in Vector Hydrophones

To solve the problem that the time-frequency resolution of Short-Time Fourier Transform (STFT) is constrained by the window length and the moving step of the short time window, and to utilize the merits of a widely linear method, a novel instantaneous frequency estimation method in vector hydrophone...
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Autor*in:	Panpan Peng [verfasserIn] Liang An [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2018

Schlagwörter:	widely linear frequency estimation ACLMS vector hydrophone

Übergeordnetes Werk:	In: Sensors - MDPI AG, 2003, 18(2018), 10, p 3348
Übergeordnetes Werk:	volume:18 ; year:2018 ; number:10, p 3348

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DOI / URN:	10.3390/s18103348

Katalog-ID:	DOAJ031251838

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language	English
source	In Sensors 18(2018), 10, p 3348 volume:18 year:2018 number:10, p 3348
sourceStr	In Sensors 18(2018), 10, p 3348 volume:18 year:2018 number:10, p 3348
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topic_facet	widely linear frequency estimation ACLMS vector hydrophone Chemical technology
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authorswithroles_txt_mv	Panpan Peng @@aut@@ Liang An @@aut@@
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callnumber-first	T - Technology
author	Panpan Peng
spellingShingle	Panpan Peng misc TP1-1185 misc widely linear misc frequency estimation misc ACLMS misc vector hydrophone misc Chemical technology Widely Linear Adaptive Instantaneous Frequency Estimation in Vector Hydrophones
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topic_title	TP1-1185 Widely Linear Adaptive Instantaneous Frequency Estimation in Vector Hydrophones widely linear frequency estimation ACLMS vector hydrophone
topic	misc TP1-1185 misc widely linear misc frequency estimation misc ACLMS misc vector hydrophone misc Chemical technology
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title	Widely Linear Adaptive Instantaneous Frequency Estimation in Vector Hydrophones
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title_auth	Widely Linear Adaptive Instantaneous Frequency Estimation in Vector Hydrophones
abstract	To solve the problem that the time-frequency resolution of Short-Time Fourier Transform (STFT) is constrained by the window length and the moving step of the short time window, and to utilize the merits of a widely linear method, a novel instantaneous frequency estimation method in vector hydrophone was proposed. In this paper, a complex variable was constructed. It is composed of sound pressure and particle velocity as its real part and imaginary part, respectively. The constructed variable was approved to be second order noncircular (improper). For the modelling of noncircular signals, the standard linear estimation is not adequate and the pseudo-covariance matrix should also be taken into consideration. As a result, a widely linear adaptive instantaneous frequency estimation algorithm and its three solutions based on the augmented complex least mean square (ACLMS) method are presented to estimate the instantaneous frequency in vector hydrophones. The results of simulations and laboratory experiments prove that this approach based on a widely linear model performs better compared to STFT and strict linear filter methods.
abstractGer	To solve the problem that the time-frequency resolution of Short-Time Fourier Transform (STFT) is constrained by the window length and the moving step of the short time window, and to utilize the merits of a widely linear method, a novel instantaneous frequency estimation method in vector hydrophone was proposed. In this paper, a complex variable was constructed. It is composed of sound pressure and particle velocity as its real part and imaginary part, respectively. The constructed variable was approved to be second order noncircular (improper). For the modelling of noncircular signals, the standard linear estimation is not adequate and the pseudo-covariance matrix should also be taken into consideration. As a result, a widely linear adaptive instantaneous frequency estimation algorithm and its three solutions based on the augmented complex least mean square (ACLMS) method are presented to estimate the instantaneous frequency in vector hydrophones. The results of simulations and laboratory experiments prove that this approach based on a widely linear model performs better compared to STFT and strict linear filter methods.
abstract_unstemmed	To solve the problem that the time-frequency resolution of Short-Time Fourier Transform (STFT) is constrained by the window length and the moving step of the short time window, and to utilize the merits of a widely linear method, a novel instantaneous frequency estimation method in vector hydrophone was proposed. In this paper, a complex variable was constructed. It is composed of sound pressure and particle velocity as its real part and imaginary part, respectively. The constructed variable was approved to be second order noncircular (improper). For the modelling of noncircular signals, the standard linear estimation is not adequate and the pseudo-covariance matrix should also be taken into consideration. As a result, a widely linear adaptive instantaneous frequency estimation algorithm and its three solutions based on the augmented complex least mean square (ACLMS) method are presented to estimate the instantaneous frequency in vector hydrophones. The results of simulations and laboratory experiments prove that this approach based on a widely linear model performs better compared to STFT and strict linear filter methods.
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Widely Linear Adaptive Instantaneous Frequency Estimation in Vector Hydrophones

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