信号源定位的信号处理方法综述

Paraschiva-Cristina Popovici
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引用次数: 0

摘要

摘要:大多数现代应用都要求信号处理方法能够根据接收信号之间的时间延迟提供预期结果,例如信号源在空间中的位置。每种方法的性能根据信噪比、采样频率或信号类型等不同而不同。本文旨在介绍和比较几种信号处理方法,以确定信号源定位的最佳解决方案。利用Matlab软件对谱图、小波变换、互相关或递归图分析等方法进行了仿真。结论是,在实时应用中,在高采样频率的情况下,相互关联是最佳方法,其次是递归图分析。
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An Overview of Signal Processing Methods for Signal Source Localization
Digital Object Identifier 10.32754/JMT.2020.2.09 55 1Abstract—The majority of modern applications require signal processing methods that can provide the expected results, such as signal source’s position in space, based on the time delay between the received signals. The performance of each method varies according to the signal to noise ratio, the sampling frequency, or the type of signal, etc. This paper aims to present and compare several signal processing methods in an effort to determine the optimum solution for the localization of signal sources. Methods such as the Spectrogram, Wavelet Transform, Cross-Correlation or Recurrence Plot Analysis were simulated using Matlab software. The conclusion is that Cross-Correlation is the optimum method in real-time applications, in the case of a high sampling frequency, followed by Recurrence Plot Analysis.
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