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时间:2020-06-16
《基于低截获概率优化的雷达组网系统最优功率分配算法.pdf》由会员上传分享,免费在线阅读,更多相关内容在应用文档-天天文库。
1、第3卷第4期雷达学报VO1.3NO.42014年8月JournalofRadarsAug.2014OptimalPowerAllocationAlgorithmforRadarNetworkSystemsBasedOilLowProbabilityofInterceptOptimizationShiChen—guangWangFeiZhouJian-jiangChenJun(KeyLaboratoryofRadarImagingandMicrowavePhotonicsjMinistryofEducation,NanjingUniversit
2、yofAeronauticsandAstronautics,Nanjing210016jChina)Abstract:AnoveloptimalpowerallocationalgorithmforradarnetworksystemsisproposedforLowProbabilityofIntercept(LPI)technologyinmodernelectronicwarfare.ThealgorithmisbasedontheLPIoptimization.First,theSchleherinterceptfactorforar
3、adarnetworkisderived,andthentheSchleherinterceptfactorisminimizedbyoptimizingthetransmissionpowerallocationamongnettedradarsinthenetworktoguaranteetarget’trackingperformance.Furthermore,theNonlinearProgrammingGeneticAlgorithm(NPGA)isusedtosolvetheresultingnonCOnvex,nonlinea
4、r,andconstrainedoptimizationproblem.Numericalsimulationresultsshowtheeffectivenessoftheproposedalgorithm.Keywords:Radarnetworksystems;LowProbabilityofIntercept(LPI);Schleherinterceptfactor;Targettracking;Kullback—Leibler(KL)divergenceCIJCindex:TN958DOI:10.3724/SP.J.1300.201
5、4.13140基于低截获概率优化的雷达组网系统最优功率分配算法时晨光汪飞周建江陈军f南京航空航天大学雷达成像与微波光子技术教育部重点实验室南京210016)摘要:针对现代电子战中对低截获概率(LPI)技术的需求,该文提出了一种基于LPI性能优化的最优功率分配算法。该文首先推导了雷达组网系统的Schleher截获因子。然后,以最小化系统的Schleher截获因子为目标,在满足系统跟踪性能要求的前提下,通过优化组网雷达的功率配置,提升雷达组网系统的LPI性能。并用基于非线性规划的遗传算法(NPGA)对此非凸、非线性约束优化问题进行了求解。仿真结果
6、验证了所提算法的有效性。关键词:雷达组网系统;低截获概率(LPI);Schleher截获因子;目标跟踪;Kullback—Leibler(KL)~E离中图分类号:TN958文献标识码:A文章编号:2095—283X(2014)04—0465—091Introductionhasreceivedgreatattentionsinrecentyears,foritcanofferimprovedperformancebyemployingDistributedradarnetworksystem,whichissignalandspatialdi
7、versities.Inaddition,radaroftencalledasdistributedMultiple-InputMultiple--networkoutperformstraditionalmonostaticOutput(MIMO)radarorstatisticalMIMOradar,radarintargetdetection,estimationaccuracy,informationextractionandLowProbabilityofManuscriptreceivedDecember23,2013;revis
8、edM29,2014InterceptfLPI)[1-31.PublishedonlineAugust11,2014.Currently,systemoptimiz
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