Research on the methods of multipath separation for shallow water wideband signal based on warping transformation

Chuanxi Xing, Guofang Dong, Lingling Kong, T. Gao
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Abstract

For the research on the multipath characteristics of shallow water wideband signal, the methods of multi-path separation were explored. After the summary of all kinds of normal mode decomposition method and the combination with a new kind of non-linear signal processing transformation method Warping transformation, a new method of multi-path separation for shallow water wideband acoustic signal based on Warping transformation was proposed. With the transmitted signals limited on a time window and the received signal of the processing of pulse compression, the processed received signal had a processing of warping transform and time-frequency analysis, in this way, a method which has wide applicability and high precision on decomposition and information ex-traction of the normal mode was achieved. Finally, a conclusion was verified through a simulation, the new method can be used in the normal mode separation of the chirp transmitted signal with a certain length of time, and has a greater advantage compared with conventional Warping transform processing results. Meanwhile, the separation signals extracted were substantially identical with the original signal after inverse operation restore, which proved the accuracy of this method.
基于翘曲变换的浅水宽带信号多径分离方法研究
针对浅水宽带信号的多径特性,探索了多径分离方法。在总结各种正态模态分解方法的基础上,结合一种新的非线性信号处理变换方法翘曲变换,提出了一种基于翘曲变换的浅水宽带声信号多径分离新方法。将发射信号限制在一个时间窗口内,接收信号进行脉冲压缩处理,对处理后的接收信号进行翘曲变换和时频分析处理,从而实现了一种适用范围广、精度高的法向模分解和信息提取方法。最后,通过仿真验证了一个结论,该方法可用于一定时间长度的啁啾传输信号的正模分离,并且与传统的翘曲变换处理结果相比具有更大的优势。同时,提取的分离信号经过逆运算还原后与原始信号基本一致,证明了该方法的准确性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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