Acoustic vector sensor DOA estimation method based on matrix decomposition under data loss

Abstract

The invention discloses an acoustic vector sensor DOA estimation method based on matrix decomposition under data loss, and the method specifically comprises the following steps: firstly, arranging any acoustic vector sensor array in a measurement scene, obtaining a received signal, and constructing a received signal tensor model; then, by utilizing the low-rank characteristic of the tensor model, performing missing data completion on the constructed received signal tensor model by using a tensor completion algorithm based on matrix decomposition; and finally, expanding the complemented tensor data according to a folding direction to obtain a complete received signal matrix after data complementation, and performing information source direction-of-arrival estimation on the complemented complete received signal matrix by using an ESPRIT algorithm for any acoustic vector sensor array. According to the method, accurate DOA estimation can be realized when part of array elements in any acoustic vector sensor array are damaged.

Description

technical field [0001] The invention relates to a DOA estimation method of an acoustic vector sensor based on matrix decomposition under data absence, and belongs to the technical field of signal processing and utilization. Background technique [0002] The direction of arrival (DOA) estimation of space signals is one of the important research directions in the field of array signal processing, and it has been widely used in communication, radar, navigation, sonar and other fields. So far, sound waves are not only the energy form with the best propagation performance in the ocean, but also the only energy form that can propagate long distances underwater. Therefore, underwater acoustic signal processing technology plays a vital role in the detection of underwater targets. important role. The acoustic vector sensor can obtain vector signals such as particle velocity and particle acceleration in the underwater sound field. The appearance of the acoustic vector sensor array h...

AI Technical Summary

Problems solved by technology

The current common method is to apply the matrix filling method to the DOA estimation of the traditional scalar sensor array, by constructing the Hankel matrix for the received signal data, but in the process of constructing the Hankel matrix, the amount of data to be processed is increased, and the computational complexity is increased.

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