基于分数间隔采样的浮标信号盲源分离算法研究  

Research on blind source separation algorithm of buoy signal based on fractional interval sampling

作　　者：郑晓庆 刘贤忠 吴明辉 张伟政 Zheng Xiaoqing;Liu Xianzhong;Wu Minghui;Zhang Weizheng(Naval Aeronautical University,Yantai 264001,China;The 715th Research Institute of China State Shipbuilding Corporation Limited,Hangzhou 310000,China;Unit 31001 of PLA,Beijing 100000,China)

机构地区：[1]海军航空大学,烟台264001 [2]中国船舶集团公司第七一五研究所,杭州310000 [3]中国人民解放军31001部队,北京100000

出　　处：《国外电子测量技术》2021年第8期105-109,共5页Foreign Electronic Measurement Technology

摘　　要：相比水面和水下作战平台,航空平台在反潜作战中具有机动灵活、搜索范围大、不受水下潜艇威胁的优势,其中被动声纳浮标是反潜机大范围被动声探潜最主要装备之一。为了解决单枚被动声纳浮标接收到多个水声目标信号的情况对目标辨识造成干扰的问题,提出了基于分数间隔采样的浮标信号盲源分离算法,该算法首先对单枚浮标接收到的水声信号进行分数间隔采样,构造虚拟浮标信号,将欠定盲源分离问题转换为正定盲源分离问题,然后利用基于负熵的固定点算法,实现源信号的分离估计,最后通过仿真实验证明了算法的有效性。Compared with the surface and underwater combat platforms, the aviation platform has the advantages of flexibility, large search range and free from the threat of underwater submarines in anti-submarine warfare. The passive sonar buoy is one of the most important equipment for large-scale passive acoustic exploration of anti-submarine aircraft. To solve the problem of multi-underwater acoustic target recognition interference by single passive sonar buoy, a blind source separation algorithm based on fractional interval sampling is proposed. Firstly, the underwater acoustic signal received by a single buoy is sampled by fractional interval sampling, and the virtual buoy signal is constructed. The underdetermined blind source separation problem is transformed into the positive definite blind source separation problem. Only the fixed point algorithm based on negative entropy is used to realize the separation estimation of source signals. Finally, the effectiveness of the algorithm is proved by simulation experiments.

关 键 词：盲源分离 被动全向声纳浮标 分数间隔采样 

分 类 号：TN971.1[电子电信—信号与信息处理] TJ67[电子电信—信息与通信工程]