Adaptive Target Birth Intensity Based on Scene Optimization

Jiuchao Zhao,Ronghui Zhan, Jingmin Cao, Huafeng Peng

2023 5th International Conference on Intelligent Control, Measurement and Signal Processing (ICMSP)(2023)

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摘要
The effective multi-target detection and tracking has always been a research hotspot in the field of radar, and there are many factors that affect the performance of the algorithm for multi-target tracking. Aiming at the target birth issue, this paper proposes an adaptive target birth intensity method based on scene optimization. This method is mainly applied to the radar long-term continuous monitoring scenario, and the monitoring area is divided into the target-birth consideration area and non-target-birth consideration area by some prior information of the monitoring area and the target status. And then the target birth process in the target-birth consideration area is strengthened, while the clutter interference from the non-target-birth consideration area is eliminated, so as to improve the target tracking performance and processing efficiency. Finally, the effectiveness and robustness of the proposed algorithm are verified by simulation experiments and analysis.
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关键词
multi-target tracking,labeled random finite set,joint predict and update generalized labeled multi-Bernoulli,unknown target birth
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