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

• 作者: WANG Xiaoli XIE Weixin LI Liangqun
• 来源期刊: 电子学报（英文版）
• 年，卷（期）: 2022,（2）
• 所属期刊栏目: SIGNAL PROCESSING
• 页码范围: 227-239
• 页数: 13页
• 语种: 英文
• DOI: 10.1049/cje.2020.00.156

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.