Analyzing non-stationary signals: A joint time-frequency and spatial-frequency approach

Sadiq Ali , Nabeel Ali Khan
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Abstract

We present a robust non-stationary signal analysis tool that is applied to accurate parameter estimation of multi-sensor non-stationary signals. This tool analyzes multi-sensor signals in a joint Time–frequency and Spatial-Frequency (JTFSF) domain using quadratic and linear representations. It is illustrated that multi-source signals with overlapping Time-Frequency signatures become non-overlapping in JTFSF domains thus allowing more refined signal analysis than conventional Time-Frequency representations. The JTFSF domain representation is applied to solve the parameters (Instantaneous Frequency) estimation problem of closely placed components in the Time-Frequency domain by employing joint Time–Frequency and Spatial filtering. It is illustrated that the proposed tool achieves superior performance than the state of art methods in terms of accuracy.

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分析非平稳信号:时频和空频联合方法
提出了一种鲁棒的非平稳信号分析工具,可用于多传感器非平稳信号的精确参数估计。该工具使用二次和线性表示在联合时频和空频(jtsf)域分析多传感器信号。结果表明,具有重叠时频特征的多源信号在jtsf域中变得不重叠,从而允许比传统时频表示更精细的信号分析。采用JTFSF域表示,采用时频和空间联合滤波,解决了时频域内紧密放置分量的参数(瞬时频率)估计问题。结果表明,所提出的工具在精度方面比目前的方法具有更好的性能。
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