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

机译:基于翘曲变换的浅水宽带信号多径分离方法研究

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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.
机译:为了研究浅水宽带信号的多径特性,探索了多径分离的方法。在总结了各种正常模式分解方法并结合一种新型的非线性信号处理变换方法Warping变换之后,提出了一种基于Warping变换的浅水宽带声信号多径分离新方法。在发送信号被限制在时间窗口和接收信号进行脉冲压缩处理的情况下,处理后的接收信号经过了翘曲变换和时频分析处理,因此具有适用性广,精度高的优点。正常模式的分解和信息提取得以实现。最后,通过仿真验证了结论,该新方法可用于一定时间长度的线性调频发射信号的正常模式分离,与常规的Warping变换处理结果相比具有更大的优势。同时,逆操作恢复后提取的分离信号与原始信号基本相同,证明了该方法的准确性。

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