Circular array modal domain orientation estimation method based on space sparse constraint

Abstract

The invention relates to the hydroacoustic engineering technology field, particularly relates to a circular array modal domain orientation estimation method based on space sparse constraint and aims to solve problems that multi-shot sampling data is required to construct a covariance matrix, inversion or characteristic value decomposition is required for the covariance matrix and algorithm execution efficiency is relatively low existing in a modal domain orientation estimation method in the prior art. The method comprises steps that a uniform circular array sound pressure signal is acquired; aphase modal domain transformation matrix is constructed; a sound pressure signal received by a uniform circular array is transformed into a phase modal domain signal through a phase modal domain transformation matrix; the 360-DEG full space orientation is discretized, and a space domain sparse transformation base is further constructed; time domain sampling of a uniform circular array reception signal is carried out to construct multi-shot sampling data in a phase modal domain, and optimization and solution of multi-shot sparse signals are carried out through utilizing the l1 norm; signal energy in different orientation angles is calculated, a spatial spectrum is drawn, and the target orientation is acquired through the maximum peak position. The method is advantaged in that the method issuitable for signal estimation of the hydroacoustic engineering.

Description

technical field [0001] The invention relates to the technical field of underwater acoustic engineering, in particular to a circular array modal domain orientation estimation method based on spatial sparse constraints. Background technique [0002] In the field of array signal processing, space target positioning technology has attracted the attention of many researchers and is widely used in the fields of national economy and national defense construction such as radar, sonar, and medical imaging. In the past few decades, a variety of array structures with different functions have emerged one after another, the most simple and practical of which is the Uniform Linear Array (ULA). Based on the uniform line array, many classic orientation estimation algorithms (for example, the maximum entropy spectrum method (Maximum Entropy: ME), the maximum likelihood method (Maximum Likelihood: ML), and the characteristic subspace method, etc.) have also been born. However, the uniform li...

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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that the existing modal domain orientation estimation method needs a large number of multi-snapshot sampling data to construct the covariance matrix, and needs to invert the covariance matrix or decompose the eigenvalue, and the algorithm execution efficiency is low, thereby making the prediction Due to the shortcomings of too long time and low accuracy, a circular array modal domain orientation estimation method based on spatial sparse constraints is proposed, including:

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