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1、大連海事大學(xué)┊┊┊┊┊┊┊裝┊┊┊┊┊┊┊訂┊┊┊┊┊┊┊線┊┊┊┊┊┊┊畢業(yè)論文二○○八年六月18相干信號DOA估計方法的研究與仿真專業(yè)班級：通信二班姓名：雷福亮指導(dǎo)教師：李森信息工程學(xué)院18內(nèi)容摘要相干信號的DOA估計是陣列信號處理中的一個研究熱點，也是陣列信號處理中的一個重要研究課題，也是雷達(dá)、聲納、通信等領(lǐng)域基本任務(wù)之一。為了解決相干信號的處理問題，各國學(xué)者提出了不少算法，這些算法大致可分為兩類:一類以犧牲有效陣元數(shù)來換取信號的不相關(guān)性，即先對陣列信號進(jìn)行去相干的預(yù)處理，而后應(yīng)用普通的各種算法以獲取精確的到達(dá)
2、角，如空間平滑法，前后向預(yù)測投影矩陣法，數(shù)據(jù)矩陣分解法。另一類是不損失陣列孔徑而利用移動陣列的方法或采用頻率平滑法處理相干信號。本文重點是關(guān)于相干信號DOA估計算法的研究。首先介紹了DOA估計問題的原理，對部分非相干信號DOA估計的經(jīng)典算法進(jìn)行了分析與比較。之后重點研究了解決相干信號DOA估計的前向空間平滑算法和前后向空間平滑算法。最后通過MATLAB仿真驗證了以上算法的有效性。關(guān)鍵詞:相干信號DOA估計；陣列信號處理;空間平滑。18AbstractTheDOA(Direction-of-Arrival)estima
3、tionofcoherentsignalsisaresearchhotspotandimportantresearchsubjectofarraysignalprocessing,itisalsooneofthebasictaskofradar,sonarcommunicationareasandsoon.InordertosolvetheproblemoftheDOAestimationofcoherentsignals,researchersallovertheworldproposedalotofalgorit
4、hms,allthealgorithmscanbedepartedtwotypes:hefirsttypecandecreasetherelativityofcoherentsignalsbysacrificingthenumberofarrays,thatispreprocessingthecoherentsignalsthenestimatethepreciseDOAwiththecommonalgorithmssuchasthespatialsmoothing,forwardbackwardprediction
5、projectionanddatamatrixdecompositionalgorithm.Theothertypeneedn'tdecreasetheapertureofthearrays,whichshiftthearraysormakeuseoffrequencysmoothingtodecreasetherelativity.Thisdissertationputtheemphasisonresearchesofdirection-of-arrivalestimationalgorithms.Itfirsti
6、ntroducestheprinciplesofDOAestimation,andmakesanalysisandcomparisonabouttheclassicalalgorithmsoftheDOAestimationofincoherentsignal.Andthen,itputstheemphasisonresearchingtoresolvethefrontspacesmoothalgorithmandfront-rearspacesmoothalgorithmofDOAestimationofcoher
7、entsignals.Atlast,throughMATLABsimulationprovetheefficiencyofthealgorithm.Keywords:DOAestimationofcoherentsignals;SignalProcessing;spacesmooth18目錄1 緒論···············································································································
8、·········································11.1 課題研究背景及意義·················································································································11.1.
