【《激光雷达回波信号处理分析的国内外文献综述》2500字】

[11]做了一些有趣的工作，通过建立泊松和高斯噪声条件下激光雷达峰值估计测距仿真的蒙特卡洛模型，并在MATLAB环境下编写了仿真实验程序，通过固定变量法，分别探讨幅值，偏置和脉宽等对激光雷达测距统计特性和测距精度的影响。在仿真的基础上，通过克拉美罗下限分析了激光雷达测距精度的问题，并与仿真结果进行对比，最后结果表明了数据仿真和克拉美罗下限结果的正确性，进一步说明了在无偏估计条件下克拉美罗下限给出的是估计参量精度的上限。参考文献王增贺.脉冲激光雷达回波信号的形心定时与测时技术[D].哈尔滨工业大学,2020.李杰.脉冲激光雷达全波形建模与处理算法研究[D].天津大学,2018.潘海南.基于小波变换的脉冲激光雷达回波信号去噪方法的研究[D].黑龙江大学,2011.Y.Zhang,X.Ma,D.Hua,Y.CuiandL.Sui,"AnEMD-baseddenoisingmethodforlidarsignal,"20103rdInternationalCongressonImageandSignalProcessing,2010,pp.4016-4019,doi:10.1109/CISP.2010.5648129.FangHT,HuangDS.Noisereductioninlidarsignalbasedondiscretewavelettransform[J].OpticsCommunications,2004,233(1-3):67-76.AzadbakhtM,FraserCS,ZhangC,etal.Asignaldenoisingmethodforfull-waveformLiDARdata[J].ProceedingsoftheISPRSAnnalsofPhotogrammetry,RemoteSensingandSpatialInformationSciences,Antalya,Turkey,2013:11-13.XuF,WangJ,ZhuD,etal.Specklenoisereductiontechniqueforlidarechosignalbasedonself-adaptivepulse-matchingindependentcomponentanalysis[J].OpticsandLasersinEngineering,2018,103:92-99.BowersMW,CookeJ,BenterouJ.SpecklereductionforLIDARusingopticalphaseconjugation.inProceedingsofIEEEconferenceonlasersandelectro-optics(CLEO),2000:222.BlancoD,MulgrewB,McLaughlinS.ICAmethodforspecklesignalsblindsourceseparationapplication.In:ProceedingsofICASSP;2004.p.2.ii-821-4BlancoD,MulgrewB,RuizDP,CarrionMC.Independentcomponentanalysisinsignalswithmultiplicativenoiseusingfourth-orderstatistics.SignalProcess2007;87(8):1917–32郭美灵.激光雷达测距的峰值估计与测距精度分析[D].南京理工大学,2013.S.Foix,G.AlenyaandC.Torras,"Lock-inTime-of-Flight(ToF)Cameras:ASurvey,"inIEEESensorsJournal,vol.11,no.9,pp.1917-1926,Sept.2011,doi:10.1109/JSEN.2010.2101060.R.LangeandP.Seitz,“Solid-statetime-of-flightrangecamera,”IEEEJ.QuantumElectron,vol.37,no.3,pp.390–397,Mar.2001.T.Oggier,M.Lehmann,R.Kaufmann,M.Schweizer,M.Richter,P.Metzler,G.Lang,F.Lustenberger,andN.Blanc,“Anall-solid-stateopticalrangecamerafor3Dreal-timeimagingwithsub-centim