用于AIS实时信号稀疏表示的追踪算法研究  

Research on pursuit algorithms for sparse representation of AIS real-time signal

作　　者：怀率恒 张淑芳[1] HUAI Shuaiheng;ZHANG Shufang(Information Science and Technology College,Dalian Maritime University,Dalian 116026,China)

机构地区：[1]大连海事大学信息科学技术学院,辽宁大连116026

出　　处：《大连理工大学学报》2018年第5期533-538,共6页Journal of Dalian University of Technology

基　　金：国家自然科学基金资助项目(61231006;61501078;61501079)

摘　　要：为解决非周期船舶自动识别系统(AIS)信号的载波跟踪问题,利用信号稀疏表示方法对AIS实时信号进行重构,以获得AIS信号的信道信息,从而为实现定位信息的测量打下基础.从AIS信号特点和AIS实时信号处理的要求出发,对基于K-SVD算法所构造的自适应冗余字典,从信号处理时间、稀疏表示精度、误码率和受噪声的影响几方面对比了基追踪(BP)和正交匹配追踪(OMP)两种不同的追踪算法.实验结果表明,两种算法都能有效精确地重构AIS信号,BP算法相比OMP算法具有更好的稀疏表示精度和误码率,但是信号处理时间会更长.由于AIS对实时性的高要求,OMP算法更适合用于AIS自主定位系统.For the carrier tracking problem of non-periodic automatic identification system(AIS)signal,the signal sparse representation is used to reconstruct the AIS real-time signal to obtain the channel information of AIS signal,thereby lay the foundation for realizing the measurement of positioning information.Based on the characteristics of AIS signals and the requirements of AIS real-time signal processing,for the adaptive redundant dictionary based on the K-SVD algorithm,two kinds of pursuit algorithms,basis pursuit(BP)and orthogonal matching pursuit(OMP),are compared in terms of the signal processing time,sparse representation accuracy,error rate and noise impact.The experimental results indicate that both of the algorithms can effectively and accurately reconstruct AIS signal,the BP algorithm has better sparse representation accuracy and error rate than the OMP algorithm,but the signal processing time is longer.Due to the high requirements of real-time performance of the AIS,the OMP algorithm is more suitable for the AIS autonomous positioning system.

关 键 词：船舶自动识别系统(AIS) 稀疏表示 实时信号 基追踪(BP) 正交匹配追踪(OMP) 

分 类 号：U675.7[交通运输工程—船舶及航道工程]