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1、光電子·馓第25卷第9期2014年9月JournalofOptoelectronics·LaserVo1．25No．9September2014機(jī)載空間激光通信終端的參數(shù)辨識(shí)跟蹤方法研究曹陽(yáng)(1．重慶理工大學(xué)電子信息與自動(dòng)化學(xué)院，重慶400054；2．電子科技大學(xué)物理電子學(xué)院，四川成都610054)摘要：針對(duì)機(jī)載空間激光通信終端的機(jī)動(dòng)形式多樣性，建立了機(jī)載激光通信終端運(yùn)動(dòng)模態(tài)，應(yīng)用改進(jìn)的遞歸最小二乘法實(shí)現(xiàn)觀測(cè)數(shù)據(jù)加權(quán)，將參數(shù)辨識(shí)方法和卡爾曼模型結(jié)合，動(dòng)態(tài)調(diào)整卡爾曼模型中的狀態(tài)轉(zhuǎn)移矩陣，實(shí)現(xiàn)對(duì)機(jī)載激光通信終端的機(jī)動(dòng)跟蹤。構(gòu)建機(jī)載空間激光通信
2、的跟蹤實(shí)驗(yàn)平臺(tái)，模擬機(jī)載激光通信終端多種運(yùn)動(dòng)模式的實(shí)驗(yàn)表明，本文的參數(shù)辨識(shí)卡爾曼算法具有跟蹤精度高和響應(yīng)時(shí)間短，且具備多種動(dòng)動(dòng)模式的跟蹤適應(yīng)能力。關(guān)鍵詞：機(jī)載空間激光通信；參數(shù)辨識(shí)；跟蹤；卡爾曼濾波中圖分類號(hào)：TP273文獻(xiàn)標(biāo)識(shí)碼：A文章編號(hào)：1005-0O86(2O14)o9—1695一O6Researchofparameteridentificationtrackingalgorithmforair。bornelasercommunicationCAOYang’(1．SchoolofElectronicInformation＆Auto
3、mation，ChongqingUniversityofTechnology，Chongqing400054，Chi—na；2．SchoolofPhysicalElectronics，UniversityofElectronicScienceandTechnologyofChina，Chengdu610054，China)Abstract：Airborne1asercommunicationhasbecomethemain、Ⅳayof1argecapacityspacecommunicationforthefuture，andreal-t
4、imehigh-precisiontrackingsystemofairbornelasercommunicationplatformhasbeenalreadyoneofthemostdifficultproblems．Inordertoresolvethediversityofmaneuveringformsforairborneplatform，itisimpossibletodescribethemaneuveringformswithfixedmodels．Inthecon—tinuoustimedomain，three-ord
5、erlineardifferentialequationmaybeappliedtodescribetheairbornelasertermina1motionmodelwithdiferentparametervalues，whichcancoverawidevarietyofmotionmodes．Itistheimportantsteptoidentifytheparametervaluesaccordingtothemotionmodes，theimprovedre—cursiveleastsquaremethodisadopte
6、dtoidentifyparameter，itcanresolveobserveddatasaturationandestimatedivergence，theparameteridentificationandKalmanfilterarecombinedtodecidethestatetran—sitionmatrix．whichmayincludeavarietyofmotionstatesforairborne1asercommunicationplatforminKalmanmode1．Novelmethodthatadopts
7、laserbeamtOsimulatemaneuveringisproposedwhichcane{一fectivelysimulatethemaneuveringforms．TheexperimentalresultsshowthattheKalmanfilterbasedontheparameteridentificationhasadvantagesofhightrackingprecision，shortresponsetimeandgoodtrackingabilitywithdifferentialmodels．Keyword
8、s：airbornelasercommunication；parameteridentification；tracking；Kalmanfilter激光通信建立激光通信之前先要完成目標(biāo)的捕1引
