Acoustic vector circular matrix steady broadband MVDR orientation estimation method

Abstract

The invention belongs to the acoustic vector communication field, and particularly relates to a vector circular matrix steady broadband MVDR estimation method. The method comprises steps of performing sub-band decomposition on acoustic pressure data and vibration velocity data received by the two-dimension circular array and generating a broadband frequency domain signal matrixes of the acoustic pressure and vibration velocity to obtain a broadband frequency domain snapshot data matrix of the vector matrix, generating vector cross-spectral matrix on all sub-bands, setting pace lengths, performing azimuth scanning, constructing a vector array guide vector on the sub-band, selecting a focusing reference frequency point and constructing the vector array focusing guide vectors on the same azimuth, adopting a coherence signal subspace CSS focusing transformation method to obtain a vector array focusing transformation matrix, obtaining a broadband focusing covariance matrix, obtaining an optimum vector and array average output power after optimization, and determining sound wave source according to the spectrum peak position of the spatial spectrum. The Acoustic vector circular matrix steady broadband MVDR orientation estimation method applies stable constrained optimization and improves the spatial spectrum resolution.

Description

technical field [0001] The invention belongs to the field of acoustic vector communication, in particular to an acoustic vector circular array robust broadband MVDR orientation estimation method. Background technique [0002] The vector sensor can simultaneously pick up the three orthogonal components of the sound pressure and particle vibration velocity of the sound field at the same point in space, and use the vibration velocity component to unambiguously orient the sound source in the whole space. At the same time, the joint signal processing technology of sound pressure and vibration velocity Has good noise immunity. Based on the above characteristics, the vector sensor has been widely used in practical engineering, and the signal processing method based on the vector sensor array (abbreviated as vector array) has become a relatively active research direction in the field of signal processing. [0003] The famous scholar Nechorai incorporated the vector sensor into the ...

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Problems solved by technology

However, the important disadvantage of the above method is that there is a significant performance drop under the condition of formation mismatch or small number of snapshots.

Although there are many methods to improve the robustness of MVDR beamforming, typical algorithms include: linearly constrained minimum variance beamforming, beamforming based on diagonal loading, and beamforming based on eigensubspace, etc., but there is still no suitable method for acoustic A Robust Method for Vector Circular Arrays

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