| 引用本文: | 杨云高，倪威，闫浩，曹运合. 基于多模型后验概率的机动目标跟踪方法[J]. 雷达科学与技术, 2018, 16(3): 322-326.[点击复制] |
| YANG Yungao, NI Wei, YAN Hao, CAO Yunhe. A Maneuvering Target Tracking Method Based on Multiple-Model Posterior Probability[J]. Radar Science and Technology, 2018, 16(3): 322-326.[点击复制] |
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| 摘要: |
| 传统单模型算法很难满足对机动目标的跟踪精度需求，自适应模型、多模型成为该领域的研究热点。转弯模型因其形式简单、计算复杂度低等特点在多模型跟踪中被广泛研究和使用。但是，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，导致存在难以精确估计真实角速度且估计速度慢等问题，基于后验概率的机动目标跟踪方法能够有效地解决该问题。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：10.3969/j.issn.1672-2337.2018.03.015 |
| 分类号:TN911；TN953+.5 |
| 基金项目:国家自然科学基金（No.61771367） |
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| A Maneuvering Target Tracking Method Based on Multiple-Model Posterior Probability |
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YANG Yungao, NI Wei, YAN Hao, CAO Yunhe
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1.The 716th Research Institute of CSIC, Lianyungang 222006, China;2.Xidian University, Xi’an 710071, China
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| Abstract: |
| Traditional single-model methods are hard to meet the tracking accuracy of the maneuvering target, so the adaptive models and multiple models have become the focus in this field. The turn model has been studied widely because of its simple form and low computational complexity. However, due to the unknown turn angular velocity of the maneuvering target, the smallest grid distance cannot be determined in the grid adjusting algorithm, resulting in inaccurate estimation of the true angular velocity and slow estimation velocity. A modified maneuvering target tracking method based on the posterior probability can solve the problem well. Through calculating of the multiple models’ posterior probability, the weights of the corresponding models in the multiple- model algorithm are obtained. The simulation results demonstrate the effectiveness of the modified method. |
| Key words: maneuvering target tracking grid distance turn angular velocity posterior probability |
