Circular acoustic vector sensor array near-field source multi-parameter estimation method

Abstract

The invention relates to a circular acoustic vector sensor array near-field source multi-parameter estimation method. The method includes the following steps that: the output signals of an acoustic vector sensor array are sampled, direct sampling data and delay sampling data are adopted to form received signal whole data; a signal subspace and a noise subspace are obtained through the feature decomposing of a data correlation matrix; a signal array guidance vector and a signal frequency estimate are obtained by using a rotation invariant relationship between of data before and after time delay; the signal guidance vector is divided into four sub-array guidance vectors; the roughly estimated values of a direction of arrival and a sound source distance are obtained based on the ratios of the sub-array guidance vectors; and the accurately estimated values of the direction of arrival and distance of the signals are searched in regions in the vicinities of the roughly estimated values through the MUSIC algorithm. According to the circular acoustic vector sensor array near-field source multi-parameter estimation method of the invention, the inherent rotational invariant structure of an acoustic vector sensor is fully utilized; and the ESPRIT rough estimation algorithm and the MUSIC small-region accurate search method are combined to realize the accurate estimation of the direction of arrival and the distance. The method has the advantages of small computation amount, simple algorithms and convenient use.

Description

technical field [0001] The invention belongs to the technical field of array signal processing, in particular to a method for estimating near-field source frequency, two-dimensional arrival angle and distance of an acoustic vector sensor array. Background technique [0002] The acoustic vector sensor is composed of an omnidirectional sound pressure sensor and three mutually perpendicular particle velocity sensors with dipole directivity, which can simultaneously measure the sound pressure intensity and particle velocity information of the acoustic wave signal, so in Radar, sonar, communication, aerospace and other fields have been widely used. When the source falls into the Fresnel area of ​​the array aperture, it is called a near-field source. The location of the near-field source needs to estimate the distance and angle of arrival. With multiple parameters, near-field sound source location localization based on acoustic vector sensor array has become a research hotspot amo...

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Problems solved by technology

[0003] The array high-resolution parameter estimation method based on subspace theory has been applied to near-field source and target location. Liu Nannan used two The multi-dimensional signal classification method estimates near-field source parameters in the background of Gaussian white noise. This method can suppress Gaussian stationary noise, but it needs to do MUSIC search based on dual quaternions, and it needs to do three-dimensional search on two-dimensional angle of arrival and distance. , the improvement of the resolution of the angle of arrival estimation depends on the fine array search interval, so it has the disadvantage of large amount of calculation

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