Multi-target DOA estimation method and underwater sound vertical vector array system

Abstract

The invention relates to a multi-target DOA estimation method and an underwater sound vertical vector array system; the method comprises the following steps: receiving a multi-target signal based on the vertical vector hydrophone array; converting the received multi-target signal to obtain a frequency spectrum and a power spectrum, and extracting a line spectrum; using a vector regular correlationalgorithm to estimate a target sound source number; using a vector weighted space smooth algorithm to obtain a MUSIC space spectrum according to the extracted line spectrum; carrying out two dimensional searching decision for a space spectrum peak corresponding to the multi-target according to the estimation result of the target sound source number and the MUSIC space spectrum, and respectively obtaining a multi-target horizontal angle and a pitching angle; step6, integrating the horizontal angles and pitching angles calculated for each line spectrum, thus obtaining the multi-target DOA estimation result. The method uses the three-dimensional vertical vector hydrophone array to realize all-dimensional estimation of the target signal horizontal angle and pitching angle, thus improving theDOA estimation accuracy of the coherent multi-target signal.

Description

technical field [0001] The invention belongs to the technical field of marine engineering, and in particular relates to a multi-target orientation estimation method and an underwater acoustic vertical vector array system. Background technique [0002] A vector hydrophone can simultaneously measure the sound pressure scalar in the sound field and the particle velocity vector in three orthogonal directions. The acquisition of vector information has deepened people's comprehensive understanding of the characteristics of the sound field. Compared with the traditional sound pressure hydrophone array, the vector hydrophone array has more processing means and can obtain greater processing gain. The existing underwater acoustic target azimuth estimation methods usually use two-dimensional vector hydrophone arrays, and the adopted algorithm only achieves a relatively ideal effect on the horizontal angle, and cannot guarantee the accuracy of multi-target azimuth estimation. Content...

AI Technical Summary

Problems solved by technology

The existing underwater acoustic target azimuth estimation methods usually use two-dimensional vector hydrophone arrays, and the adopted algorithm only achieves a relatively ideal effect on the horizontal angle, and cannot guarantee the accuracy of azimuth estimation for multi-target signals

Images