Abstract

This paper is to analyze the effectiveness of multistatic sonar network based on detection performance. The multistatic sonar network is a distributed detection system that places a source and multi-receivers apart. So it needs a detection technique that relates to decision rule and optimization of sonar system to improve the detection performance. For this we propose a data fusion procedure using Bayesian decision and optimal sensor arrangement by optimizing a bistatic sonar. Also, to analyze the detection performance effectively, we propose the environmental model that simulates a propagation loss and target strength suitable for multistatic sonar networks in real surroundings. The effectiveness analysis on the multistatic sonar network confirms itself as a promising tool for effective allocation of detection resources in multistatic sonar system.

Keywords

• Multistatic Sonar Network;
• Distributed Detection;
• Target Detection;
• Bayesian Decision;
• Sensor Arrangement

• 다중상태 소나;
• 분산탐지;
• 표적탐지;
• 베이시안 결정기법;
• 센서 배치;