Blind Adaptive Multi-User Detection Technique Based on Improved Kalman Filter For Underwater Acoustic Communication

摘要：

　　In order to solve multi access interference(MAI)effect of multi-user blind detection in underwater acoustic communication networks,blind adaptive multi-user detection method based on improved Kalman filter algorithm was proposed.This method can suppress the MAI problem when the user number increases.Simulation was done for both traditional Kalman method and improved Kalman method in synchronous and asynchronous multi-user communication case,the differences of detection character between the two methods were examined,and the validity of improved Kalman blind detection algorithm in multi-user underwater acoustic communication is proved.

关键词： Kalman filter multiuser detection blind adaptive acoustic communication

作者: Zhongqiu-qiu Wang Zhen Wang Jun-cheng Wang Hong-ru Wang

作者单位: Shandong Provincial Key Laboratory of Ocean Environment Monitoring Technology Shandong Academy of Sciences Institute of Oceanographic Instrumentation Qing Dao, China

会议类型: 国际会议

会议名称: The 2014 10th International Conference on Natural Computation (ICNC 2014) and the 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery (FSKD 2014)(第十届自然计算和第十一届模糊系统与知识发现国际会议)

会议地点: 厦门

会议语种:英文

页码: 781-786

在线出版日期: 2014-08-19（万方平台首次上网日期，不代表论文的发表时间）