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Method and system for performing real-time spectral analysis of non-stationary signal

A real-time spectrum analysis, non-stationary signal technology, applied in spectrum analysis, instruments, measurement devices, etc., can solve the problem of inability to improve the resolution of the spectrum

Active Publication Date: 2014-05-14
KEYSIGHT TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

CZT alone cannot provide resolution-enhancing spectrum for zoomed or full-band signals

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  • Method and system for performing real-time spectral analysis of non-stationary signal
  • Method and system for performing real-time spectral analysis of non-stationary signal
  • Method and system for performing real-time spectral analysis of non-stationary signal

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Embodiment Construction

[0022] In the following detailed description, for purposes of illustration and not limitation, illustrative examples disclosing specific details are given in order to provide a thorough understanding of embodiments in accordance with the teachings of the present invention. However, it will be apparent to persons of ordinary skill in the art having the benefit of this disclosure that other embodiments in accordance with the teachings of the present invention depart from the specific details disclosed herein and still be within the scope of the appended claims. Moreover, descriptions of well-known devices and methods may be omitted so as not to obscure the description of the exemplary embodiments. Such methods and apparatus are within the scope of the teachings of the present invention.

[0023] In general, it should be understood that the figures and various elements depicted herein are not drawn to scale. Further, relative terms such as "upper", "lower", "top", "bottom", "upp...

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Abstract

A method is provided for performing real-time spectral analysis of a non-stationary signal. The method includes sampling the non-stationary signal, using an observation window having a length short enough to approximate a stationary signal, to provide an initial set of sampled data, buffering the initial set of sampled data to obtain multiple buffered sets of sampled data, filtering the initial set of sampled data and the buffered sets of sampled data, using corresponding filter responses, to obtain multiple filtered sets of sampled data, and performing a chirp-z-transform (CZT) of the filtered sets of sampled data to provide a set of discrete Fourier transforms (DFT) coefficients. A total signal spectrum of the non-stationary signal is reconstructed using the set of DFT coefficients.

Description

technical field [0001] The present disclosure relates to a method and system for real-time frequency spectrum analysis of non-stationary signals. Background technique [0002] Traditional approaches to spectral analysis of signals assume that the input signal has constant harmonic content during the sampling operation within the observation window. In many applications, the signal is time-dependent (non-stationary or transient) and may only be considered stationary for observation purposes if the duration or length of the observation window is suitably short. For example, the length of the observation window should be smaller than the period of the discontinuity or transition so that the signal statistics remain stationary throughout the observation window. Conversely, to obtain a good spectral resolution of the signal, the number of samples is increased, which requires the use of a longer observation window. [0003] In general, the Fast Fourier Transform (FFT) is not sui...

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Application Information

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IPC IPC(8): G01R23/165
CPCG01R23/175G01R23/167
Inventor A.阿尔-阿德纳尼
Owner KEYSIGHT TECH
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