首页|Labeled Multi-Bernoulli Maneuvering Target Tracking Algorithm via TSK Iterative Regression Model

Labeled Multi-Bernoulli Maneuvering Target Tracking Algorithm via TSK Iterative Regression Model

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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.

Takagi-Sugeno-KangIterative regres-sion modelLabeled multi-bernoulliManeuvering target tracking

WANG Xiaoli、XIE Weixin、LI Liangqun

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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

国家自然科学基金国家自然科学基金Major Scientific and Technological Project of Guangdong ProvinceMajor Program for Tackling Key Problems of Guangzhou City,ChinaScience&Technology Program of Shenzhen

62171287617732672017B030308006201704020144JCYJ20190808120417257

2022

10.1049/cje.2020.00.156

电子学报(英文)

电子学报(英文)

CSTPCDSCIEI
ISSN：1022-4653
年,卷(期)：2022.31(2)
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