Acoustic vector sensor array direction of arrival estimation method under non-uniform noise

Abstract

The invention relates to the technical field of array signal processing, and discloses a method for estimating the direction of arrival of an acoustic vector sensor array under non-uniform noise, and the method comprises the following steps: 1, receiving an output vector X output by the acoustic vector sensor array; step 2, based on a sparse signal model, calculating a signal covariance matrix P and a noise covariance matrix Q according to the output vector X, and constructing a sparse covariance matrix R by using the obtained signal covariance matrix P and noise covariance matrix Q; 3, constructing a cost function based on the sparse covariance matrix R, estimating sparse signal power by using the cost function, and obtaining a signal power vector; and 4, carrying out spectrum peak search on the signal power vector, wherein the sound source position corresponding to the obtained spectrum peak is the estimated target azimuth angle. According to the method, the orientation estimation performance of the acoustic vector sensor array under the non-uniform noise can be improved.

Description

technical field [0001] The invention relates to the technical field of array signal processing, in particular to a method for estimating the direction of arrival of an acoustic vector sensor array under non-uniform noise. Background technique [0002] The sound vector sensor is a new type of sensor, which can measure the sound pressure and vibration velocity information in the sound field synchronously and spatially. Compared with the traditional sound pressure sensor, the sound vector sensor can not only obtain the sound pressure information in the sound field, but also obtain the sound vibration velocity information. By utilizing the additional sound vibration velocity information, the sound vector sensor has better signal detection and orientation estimation. performance. Compared with the monophonic vector sensor, the acoustic vector sensor array formed by it has the advantages of high signal gain, strong interference suppression capability and high spatial resolution. ...

AI Technical Summary

Problems solved by technology

However, this algorithm is only suitable for large-aperture arrays and acoustic vector sensors where the noise power is not equal between the sound pressure and the vibration velocity

When the sensors are different, the sound pressure and vibration velocity between the acoustic vector sensors and the noise received between the vibration velocity and vibration velocity channels will also be different. In this case, the orientation estimation performance of the ASMUSIC method is also different. will seriously deteriorate

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