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一种改进的基于峰值信噪比-高阶奇异值分解的天波超视距雷达自适应海杂波抑制算法.docx

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一种改进的基于峰值信噪比-高阶奇异值分解的天波超视距雷达自适应海杂波抑制算法 Title:AnImprovedAdaptiveSeaClutterSuppressionAlgorithmforOver-the-HorizonRadarUsingPeakSignal-to-NoiseRatio-HigherOrderSingularValueDecomposition Abstract: Over-the-horizonradar(OTHR)playsacrucialroleinmaritimesurveillance,providinglong-rangedetectionandtrackingcapabilities.However,OTHRsystemsarepronetointerferencefromseaclutter,whichcandegradetheradar'sperformanceandaccuracy.Inthispaper,weproposeanimprovedadaptiveseacluttersuppressionalgorithmbasedonthepeaksignal-to-noiseratio(PSNR)andhigher-ordersingularvaluedecomposition(HOSVD)forOTHRsystems. 1.Introduction: IntroductiontoOTHRsystemsandthechallengesposedbyseaclutter.Theneedforrobustseacluttersuppressionalgorithmstoimprovedetectioncapabilityandmakeaccuratetargettrackingintheseradarsystems. 2.LiteratureReview: Athoroughreviewofexistingseacluttersuppressiontechniques,includingadaptivefiltering,space-timeadaptiveprocessing(STAP),andsingularvaluedecomposition(SVD).ExploringthelimitationsofthesetechniquesandtheneedforanimprovedalgorithmusingPSNRandHOSVD. 3.TheoreticalBackground: ExplanationofthePSNRasameasureofimagequality,whichisusedtoquantifytheeffectivenessofcluttersuppressionalgorithms.IntroductiontoHOSVD,ahigher-dimensionalextensionofSVD,whichallowsforthedecompositionofhigh-ordertensors. 4.ProposedAlgorithm: DetailedexplanationoftheproposedadaptiveseacluttersuppressionalgorithmusingPSNR-HOSVD.Thealgorithmconsistsofthefollowingsteps: -Preprocessinganddataacquisition -Calculationofthecluttercovariancematrix -Calculationofthetargetcovariancematrix -CalculationoftheclutterthresholdbasedonthePSNR -EstimationofcluttercovariancematrixeigenvectorsusingHOSVD -Reconstructionofclutterandtargetcovariancematrices -Subtractionofthereconstructedclutterfromthereceiveddata -Postprocessingandtargetdetection 5.SimulationResultsandDiscussion: Presentationofsimulationresultstoevaluatetheperformanceoftheproposedalgorithm.Comparisonwithexistingseacluttersuppressiontechniquesintermsofcluttersuppress