Target direction-finding method based on acoustic vector two-dimensional nested array

Abstract

The invention discloses a target direction-finding method based on an acoustic vector two-dimensional nested array, and is used for direction and pitching measurement of an underwater target. The method includes building a new acoustic vector two-dimensional nested array which is formed by two two-dimensional acoustic vector subarrays nested in geometric position, array elements of the subarray 1 are distributed in sparse grids, array elements of the subarray 2 are distributed in dense grids, two grids can be selected arbitrarily, that a matrix that associate the grids is an integer matrix is required only, the integer matrix can also be selected freely, then an autocorrelation matrix of signals output by the array are utilized to build a difference synthesis acoustic vector two-dimensional array, and finally a three-dimensional smooth DOA algorithm is utilized to obtain second-order statistics of received signals of the difference synthesis acoustic vector array.

Description

technical field [0001] The invention relates to a target direction finding method based on a two-dimensional nested array of acoustic vectors, which is used for azimuth and pitch measurement of underwater targets. Background technique [0002] The acoustic vector sensor is configured by 2 or 3 mutually orthogonal vibration velocity sensors and 1 optional pressure sensor. Compared with the traditional scalar array, the acoustic vector array can obtain more information of the target signal, and has higher direction finding accuracy and resolution. But like the scalar array, in the direction finding algorithm based on second-order statistics, the number of signals measured by the acoustic vector array must be smaller than the number of array elements. In order to further expand the number of signals measured by the antenna array and improve the accuracy of direction finding, the fourth-order cumulant is often used to construct virtual array elements to increase the degree of f...

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Problems solved by technology

However, the amount of calculation of the fourth-order cumulant increases exponentially with the number of scalar sensors, which is more unfavorable for the acoustic vector array, because its number of scalar sensors is 3-4 times the number of array elements, which makes the output of the acoustic vector array The calculation amount of the fourth-order cumulant of the signal is more huge, which is difficult to apply to real-time processing

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