Volume 31 Issue 2
Mar.  2022
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WANG Xiaoli, XIE Weixin, LI Liangqun. Labeled Multi-Bernoulli Maneuvering Target Tracking Algorithm via TSK Iterative Regression Model[J]. Chinese Journal of Electronics, 2022, 31(2): 227-239. doi: 10.1049/cje.2020.00.156
 Citation: WANG Xiaoli, XIE Weixin, LI Liangqun. Labeled Multi-Bernoulli Maneuvering Target Tracking Algorithm via TSK Iterative Regression Model[J]. Chinese Journal of Electronics, 2022, 31(2): 227-239.

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

##### doi: 10.1049/cje.2020.00.156
Funds:  This work was supported in part by the National Natural Science Foundation of China (62171287, 61773267), the Major Scientific and Technological Project of Guangdong Province (2017B030308006), the Major Program for Tackling Key Problems of Guangzhou City, China (201704020144), and Science & Technology Program of Shenzhen (JCYJ20190808120417257)
• Author Bio:

(corresponding author) was born in 1992. She is a Lecturer in College of Electronics and Information, GuangDong Polytechnic Normal University. She received the Ph.D. degree in College of Information Engineering of Shenzhen University in 2021. Her research interests include multisensor information fusion and target tracking. (Email: xlwang@szu.edu.cn)

was born in 1941. He is a Professor and Doctoral Tutor of School of Information Engineering, Shenzhen University. His research interests include radar target recognition, multisensor information fusion, fuzzy information processing, and image processing

was born in 1979. He is a Professor of School of Information Engineering, Shenzhen University. His research interests include multi-sensor information fusion and target tracking. (Email: lqli@szu.edu.cn)

• Accepted Date: 2021-10-15
• Available Online: 2021-12-02
• Publish Date: 2022-03-05
• Aiming at the problem that the existing labeled multi-Bernoulli (LMB) method has a single and fixed model set, an LMB maneuvering target tracking algorithm via Takagi-Sugeno-Kang (TSK) iterative regression multiple model is proposed. In the TSK iterative regression modeling, the feature information of the targets is analyzed and represented by multiple semantic fuzzy sets. Then the state is expanded to introduce model information, thereby the adaptive multi-model idea is incorporated 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.
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