Detection of Life Characteristic Signals Based on High Order Statistics

Abstract:

Life parameters signal has characteristics of extremely low frequency, low signal-to-noise ratio, and the easy submerged in strong clutter noises. The method for detecting life signal based on filter bank and high order statistics is presented, in which neither the Gaussian supposition of the observed signal, nor a prior information about the waveform and arrival time of the observed signal is necessary. The principle of method is to separate the spectrum of input signal into many narrow frequency bands, whose Sub-band signal is followed by a short-time estimation of higher-order statistics so as to suppress Gaussian noises. Simulated results show that the method not only can completely descript life signals in the time-frequency domain, but improve the signal-to-noise ratio and the ability of detecting algorithm. Moreover, the method is effective and practical.

• Periodical: Applied Mechanics and Materials (Volumes 239-240)
• Pages: 807-810
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.239-240.807
• Online since: December 2012
• Authors: Jian Jun Li, Jian Feng Zhao
• Keywords: Feature Detection, Filter Bank, High-Order Cumulant, SNR

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