Perception-based fuzzy detection: An exploratory study

For the shallow water sonar systems, the data quantity is usually huge and the characteristics of the background distribution are often time-varying and space-varying. While in the conventional target detection, the distribution model is usually assumed constant and its parameters are often estimated based on the limited reference cells surrounding the cell under test. How to fully utilize the data information and confront the varying background characteristics is one of the important problems for the sonar researchers. This paper describes an exploratory study on perception-based fuzzy detection for sonar data. The detector proposed in this paper firstly acquires the environment information based on the fuzzy perception method. Then it intelligently suppresses clutters and detects targets with the acquired knowledge. The clutter suppression and target detection are carried out with real sonar data. The results validate the clutter suppression capability of the proposed detector.