Research on Underwater Target Signal Detection Based on Multi-feature Fusion of Particle Swarm Optimization

Authors:
Publisher website
Google Scholar
Abstract
In order to improve the practicability of stochastic resonance (SR) theory in the field of underwater target weak signal detection, taking the parameters of stochastic resonance system as the research object, a signal detection method based on multi feature fusion measure based on particle swarm optimization algorithm is proposed. In this method, the multi-feature fusion measure is taken as the fitness function, and the stochastic resonance problem is transformed into a multi parameter parallel optimization problem. To prove the effectiveness of the above method, we did a set of computer simulation experiments. This method can realize the signal detection of underwater weak and small targets in long-distance low SNR marine environment without relying on a priori information, further improve the signal detection probability, and improve the effectiveness and reliability of underwater weak and small target detection.

This publication has 8 references indexed in Scilit: