典型文献
Labeled Multi-Bernoulli Maneuvering Target Tracking Algorithm via TSK Iterative Regression Model
文献摘要：
Aiming at the problem that the existing labeled multi-Bernoulli(LMB)method has a single and fixed model set,an LMB maneuvering target tracking al-gorithm via Takagi-Sugeno-Kang(TSK)iterative regres-sion multiple model is proposed.In the TSK iterative re-gression modeling,the feature information of the targets is analyzed and represented by multiple semantic fuzzy sets.Then the state is expanded to introduce model in-formation,thereby the adaptive multi-model idea is incor-porated into the framework of the LMB method to solve the uncertain maneuverability of moving targets.Finally,the simulation results show that the proposed algorithm can effectively achieve maneuvering target tracking in the nonlinear system.
文献关键词：
中图分类号：
作者姓名：
WANG Xiaoli;XIE Weixin;LI Liangqun
作者机构：
Department of Electronics and Information,Guangdong Polytechnic Normal University,Guangzhou 510665,China;Automatic Target Recognition(ATR)Key Laboratory,Shenzhen University,Shenzhen 518060,China;Guangdong Key Laboratory of Intelligent Information Processing,Shenzhen University,Shenzhen 518060,China
文献出处：
引用格式：
[1]WANG Xiaoli;XIE Weixin;LI Liangqun-.Labeled Multi-Bernoulli Maneuvering Target Tracking Algorithm via TSK Iterative Regression Model)[J].电子学报（英文）,2022(02):227-239
A类：
B类：
Labeled,Multi,Bernoulli,Maneuvering,Target,Tracking,Algorithm,via,TSK,Iterative,Regression,Model,Aiming,problem,that,existing,labeled,LMB,method,has,single,fixed,maneuvering,tracking,Takagi,Sugeno,Kang,iterative,regres,multiple,proposed,In,modeling,feature,information,targets,analyzed,represented,semantic,fuzzy,sets,Then,state,expanded,introduce,thereby,adaptive,idea,incor,porated,into,framework,solve,uncertain,maneuverability,moving,Finally,simulation,results,show,algorithm,can,effectively,achieve,nonlinear,system
AB值：
0.615928
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