Underwater Target Recognition Based on Module Time-frequency Matrix

摘要：

Underwater target recognition based on S-transform with module time-frequency matrix similarity is studied in the paper. Compute the similarity rate between S-transform with module time-frequency matrix of test sample and which of normal sample. The test sample is classified according to maximum similarity principle. The method can achieve target recognition directly without using auxiliary classifier. The computing process is simple and fast. Simulation and test show the method is suited to underwater target recognition because of its high recognition rate and insensitive to noise.

关键词： underwater target recognition s-transform classifier similarity

作者: Xi Xu Min Shi

作者单位: Unit 93 No.91388 Troops of PLA Zhanjiang,China Underwater Acoustic Antagonizing Laboratory No.91388 Troops of PLA Zhanjiang,China

会议类型: 国际会议

会议名称: 2012 4th International Conference on Intelligent Human-Machine Systems and Cybernetics 第4届智能人机系统与控制论国际会议 IHMSC 2012

会议地点: 南昌

会议语种:英文

页码: 42-44

在线出版日期: 2012-08-26（万方平台首次上网日期，不代表论文的发表时间）