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1、西南交通大學(xué)碩士學(xué)位論文基于MP的寬帶LFM信號參數(shù)估計快速算法和陣列誤差校正姓名：房黎黎申請學(xué)位級別：碩士專業(yè)：信號與信息處理指導(dǎo)教師：王建英20080601西南交通大學(xué)碩士研究生學(xué)位論文第Ⅱ頁號參數(shù)估計的速度。最后，通過大量的實驗仿真給出了快速算法的速度分析比較，證明了算法的有效性。4．研究了不同種類的陣列誤差，研究了幾種目前已有的誤差校正方法，針對均勻線陣中幅相誤差的估測會因陣列的特殊結(jié)構(gòu)而導(dǎo)致部分誤差無法精確估測這一問題，本章提出了一種用粒子群算法估測均勻線陣幅相誤差的方法，可對幅相誤差進行較為準(zhǔn)確的估測，通過修正導(dǎo)向矢
2、量，可以得到準(zhǔn)確的信源到達方向。實驗仿真結(jié)果證明了算法的有效性和可行性。關(guān)鍵詞寬帶線性調(diào)頻信號：頻率估計；遺傳算法：粒子群算法；誤差校正西南交通大學(xué)碩士研究生學(xué)位論文第1Ⅱ頁AbstractThestudyonthefollowingthreeaspectshasimportantsignificanceinsignalanalysisandsignalprocessing：(1)themethodofsignaldenotationandthedecomposition(2)fastalgorithmofsignaldecom
3、position．(3)signaldenotationintheapplicationsofsignalprocessing。Thesignalsparsedecompositionmethodisarecentandconcisedenotationanddecompositionmethod．Ithasgreatresearchvalueandbroadapplicationprospects．Theapplicationsofsignalsparsedecompositioniswidelyregarded，howeve
4、rthecomputationalcomplexityofthatisveryhigh，whichbecomeakeyfactorinimpedingitsdevelopment．Topromotetheresearchandapplicationofsignalsparsedenotationandsignalsparsedecomposition，itisnecessarytostudythefastalgorithm．Otherwise，signalsparsedenotationanddecompositioncailn
5、otbepractical，itCanonlyremaininthesearchingphases．ThisthesisappliesgeneticalgorithmandparticleswarmoptimizationalgorithmtoparameterestimationofwidcbandLFMsignal，andproposestwodifferentlyfastalgorithmtotheestimatedfrequency,oneisusingthehyb—dPSO(DS—PSO)algorithmwhichi
6、sbasedondirectsearchmethodandparticleswarmoptimizationby,andtheotherisusingthehybridoptimization(GA—PSO)algorithmonthebasisofgeneticalgorithmandparticleswarmoptimization．Meanwhile，itwillgreatlyimprovethespeedoftheparameterestimationofLFMsignalwhenthetwofastalgorithms
7、oftheestimatedfrequencyarecombinedwithsectorsestimationalgorithmforestimatingthesignalDOA．Sincethearraymanifoldhasunavoidableerrorsinpractice，theparameterestimationperformanceCanbeaffected．ThisthesisproposesanovelalgorithmbasedonthePSOalgorithmfortheestimationofunifo
8、rmlineararraygainandphaseuncertainties。Themainworkandcontributionsofthedissertationareintheseveralaspectsasfollows：1。Detaillydescri
