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1、基于调频广播频段的自适应背景噪声提取算法研究AbstractThebackgroundnoiseisoneofthekeyfactorsinmonitoringtheimpactofradiomonitoringintheprocessionofradiomonitoring,andhowtoeffectivelyextracttheusefulsignalinnoiseisanimportantresearchdirection.Butmanyusefulsignalissubmergedinalot
ofbackgroundn
2、oise,whichmakesitdifficultforustodetect.Nowadays,therearealotofbackgroundnoiseextractionalgorithmsonradio,suchasK-meansclusteringalgorithm,theprovisionalvalueofthediscriminantextractionalgorithm.Thesealgorithmscantakeapartofsignalandnoiseundercertainconditions,buteach
3、alsohaslimitations.Atpresent,theproblemcanbebroadlyclassifiedintotwoaspects.Firstly,the
backgroundnoiseofconventionalextractionalgorithmsareabletoachievegoodresultsintheextractionofspecificelectromagneticenvironment.However,withthechangeoftheexternalelectromagneticenv
4、ironment,thebackgroundnoiseextractionalgorithmastoodependentonthesupportedhardwareenvironmentsorsetafixedparametercannotbechangedwiththeadaptationoftheexternalenvironment,andthusappearedtodetectingerrors.Moreover,somebackgroundnoiseextractionalgorithmcanonlybeadaptedt
5、omonitorcertainfrequency
bands,whichcannotbeappliedtoallmonitoringrequirementsformonitoringband.Asmostofthemonitoringactivitiesofthedifferentfrequencybandsisdifferent,thebackgroundnoiseisalsodifferent,Similarly，themonitoringsignaltonoiseratioisnotthesameinthedifferent
6、frequencybands.Somemonitoringbandsevenappearedmorethanonemonitorbusiness.Thisbringsadegreeofdifficultytothebackgroundnoiseextractionwork.Inthispaper,featuresfortheFMbroadcastband.Bysegmentationmethod,smoothing
filteringandthresholdselectionmethodtostarttobuildthealgor
7、ithm.Andthuspresentsanadaptivethresholdsegmentationalgorithmbasedonsmoothing,thealgorithmusesboththesegmentationmethodandthesmoothingalgorithmstodealwithgeneralapplicabilitytoallmonitoringband.Meanwhile,thealgorithmusesmulti-framesignalprocessingmethodstosolvetheprobl
8、emofchangingtheadaptabilityelectromagneticenvironment.Therefore,withthechangeofexternalelectromagneticenvironment,thealgorit
