Estimation of Echo Parameters of Underwater Target Based on Compressed Sensing

Abstract

Underwater target echo acoustic scattering is an important research basis for active sonar target detection and recognition, the underwater environment is complex and changeable, increases the difficulty of underwater target detection, access to accurate and efficient target echo parameters help to achieve the detection and identification of underwater targets. In order to solve the problem of estimating the echo parameters of underwater targets, a new fast solution method based on compressed sensing is proposed. Compressed sensing algorithms are used to compress and sample the echo signals, construct a data dictionary, and use alternating direction method of multipliers (ADMM) optimizes the solution framework, decomposes the original global problem into sub-problems, and constrains the relationship between the sub-problems to obtain the solution of the original problem. Through data simulation analysis, the algorithm in this paper can not only effectively avoid large amounts of data the problem, but also reduce the complexity of time and the results are close to Cramer-Rao Bound.