摘要
本文设计了一种知识辅助的贝叶斯检测联合跟踪框架,介绍了动态知识库,知识获取、学习与应用,检测与跟踪一体化处理,航迹后处理等关键环节,利用先验知识和实时信号特征提升目标跟踪性能。提出了一种基于贝叶斯联合风险函数的检测联合跟踪方法,可根据不同性能指标自适应设计跟踪系统,仿真结果表明该方法估计性能优于传统的S+1-D方法。
A framework of Bayesian joint detecting and tracking knowledge-aided is designed. Dynamic knowledge base,knowledge acquisition、learning and applying,integrated information processing,track post-processing are introduced. The performance of target tracking using prior-knowledge and real-time signal features is improved. A joint detecting and tracking method based on Bayesian joint risk function is proposed,which can self-adaptively design tracking system according to different performance indicators.Simulation results show that the performance of this method is better than the classical S + 1-D method.
引文
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