摘要: |
本文基于机动目标跟踪的自适应转弯模型开展研究,针对网格调整算法估计转弯角速度的方法中由于机动目标角速度未知而无法确定最小的网格间隔,导致难以精确估计真实角速度且估计速度慢等问题,提出了一种改进的基于后验概率的机动目标跟踪方法。通过对多模型后验概率的计算获得各模型对应的权值,提高了真实角速度的估计精度和既定目标跟踪算法的估计性能。最后通过仿真试验说明了改进算法的有效性。 |
关键词: 机动目标跟踪 网格间隔 转弯角速度 后验概率 |
DOI: |
分类号:TN911, TN953+.5 |
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目) |
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A Maneuvering Target Tracking Method Based on Multiple Model Posterior Probability |
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Abstract: |
In this paper, the adaptive turn model for maneuvering target tracking is studied. Due to the unknown turn angular velocity of the maneuvering target, the smallest grid distance cannot be determined in the adjusting grid algorithm, which causes the true angular velocity cannot be accurately estimated and the slow estimation velocity. A modified maneuvering target tracking method based on the posterior probability is proposed. Namely through calculating of the multiple models’ posterior probability, weights of corresponding models in the multiple models algorithm are obtained. At last the simulation results demonstrate the effectiveness of the proposed modified method. |
Key words: Maneuvering target tracking Grid distance Turn angular velocity Posterior probability |