基于分段三稳态势函数的随机共振信号滤波算法

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中图分类号：TN911 文献标志码：A

Abstract：Aimingattheproblemthatitisdificulttoefectivelyextracttheacousticsignalinthestrong noiseenvironmentof undergroundmine，asignal filtering algorithmof piecewisethree steady-statestochasticresonance wasproposedbasedon three steady-state stochasticresonanceandcombinedwith piecewise bi-stable potential function.Aimingatthe problemsof lowsignal-to-noiseratio，severe parametercouplingandoutput saturationof traditional stochastic resonance output，a piecewisethree steady-state nonlinearsystem model wasconstructed.The systemmodelcanindependentlyadjust the welldepth， well position andbarriersteepness toiduce theoptimal thre steady-state stochasticresonance.Basedontheoutput signalto-noise atio，theparameterswereoptimizedbyartificialfishswarmalgorithm（AFSA）toimprovethesignalfilteringeffct of piecewisethreesteady-statestochasticresonance.Theresultsshowthatthesignal filteringalgorithmofsegmentedthree steady-statestochasticresonaneismorefectivethanotherclasscalalgorithms，improvingheoutputsignal-to-noiseatiof procesing downholeacousticsignaland providingabeter methodfortheextractionofdownholeacousticcommunicationsignal.

Keywords：signal procesing；stochasticresonance；piecewise potential function；frequencyshift variablescale；articial fish swarm algorithm

近年来，随着智能完井技术的不断发展，以声波 为介质的无线传输技术逐渐受到重视。（剩余12259字）