文章摘要
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
投稿时间:2018-05-23  修订日期:2018-06-14
DOI:
中文关键词: AIS  稀疏表示  实时信号  BP  OMP
英文关键词: AIS  sparse representation  real-time signal  BP  OMP
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)
作者单位E-mail
怀率恒 大连海事大学 huaishuaiheng@dlmu.edu.cn 
张淑芳 大连海事大学  
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中文摘要:
      摘要:针对非周期的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。本文从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BP和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的重构AIS信号,基追踪算法相比于正交匹配追踪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,正交匹配追踪算法更适合用于AIS自主定位系统。
英文摘要:
      Abstract: For the carrier tracking problem of non-periodic AIS signal, the signal sparse representation is used to reconstruct the AIS real-time signal to obtain the channel information of AIS signal, thereby laying the foundation for realizing the measurement of positioning information. In this paper, 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--the BP and the OMP were 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.
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