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Acoustic signal collection method based on compressed sensing

An acoustic signal and compressed sensing technology, applied in wireless communication, using sound waves/ultrasonic waves/infrasonic waves to analyze fluids, electrical components, etc. The effect of transmission pressure

Active Publication Date: 2011-11-23
ZHEJIANG UNIV
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Problems solved by technology

This inevitably brings about two problems: First, the generation of random simulated data streams and the random projection process consume a lot of energy
It also has great limitations for acoustic signal acquisition in wireless sensor networks

Method used

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  • Acoustic signal collection method based on compressed sensing
  • Acoustic signal collection method based on compressed sensing
  • Acoustic signal collection method based on compressed sensing

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Embodiment Construction

[0028] The invention patent realizes acoustic signal acquisition at low sampling frequency through a random sparse sampling method on the basis of compressed sensing theory. The principle of the new acoustic signal acquisition is: through figure 2 The specific hardware implementation shown realizes random sparse sampling of acoustic signals, and completes signal reconstruction through weighted L1 norm optimization algorithm.

[0029] In compressed sampling theory, the original signal is defined as , , if the signal is in a transformation basis The following is sparse, then the original signal can be sparsely represented by several vectors under this basis: , where the right formula shows the k-sparse nature of the signal. According to the existing conclusions of compressed sensing, it is possible to perform low-speed sampling on the signal in the sparse domain and realize signal reconstruction. In the acoustic signal, the discrete Fourier or DCT transform domain is us...

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Abstract

The invention discloses an acoustic signal collection method based on compressed sensing, which can realize of reconstruction of the acoustic signal with high probability at a relatively low average sampling frequency, breaks through limitation of the Nyquist sampling theorem on the sampling frequency, and reduces requirements on the sampling performance of a sensor. The method has the advantages that: based on the compressed sensing theory, a novel random measurement mechanism is designed aiming at the characteristics of a real acoustic signal collection element, so that the difficulty in realization of hardware is greatly reduced; therefore, the acoustic signal collection element based on compressed sensing has real application values. The method is particularly applicable to an acoustic monitoring system based on a wireless sensor network, and can greatly reduce requirements on the sampling performance of the sensor and the wireless data transmission.

Description

technical field [0001] The invention relates to a novel acoustic signal acquisition method based on compressed sensing theory, in particular to a novel acoustic signal sampling and reconstruction method for random measurement in the time domain, and is especially suitable for an acoustic monitoring system based on a wireless sensor network. Background technique [0002] Acoustic signal is one of the most basic characteristic signals in nature, and its acquisition technology is widely used in environmental monitoring, target detection, robot navigation, etc. The traditional acoustic signal acquisition method is implemented on the basis of Shannon sampling theorem. In the framework of this theory, the sampling rate of the sensor must be more than twice the highest frequency of the signal to be acquired. According to the frequency characteristics of the acoustic signal, the current mainstream acoustic signal acquisition components generally adopt a sampling frequency of 44.1kHz...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N29/02H04W84/18
Inventor 王智李元实余恺周良毅
Owner ZHEJIANG UNIV
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