| 基于粒子滤波的TBD算法研究 |
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| 引用本文： | 边旭,李江勇. 基于粒子滤波的TBD算法研究[J]. 激光与红外, 2015, 45(1): 109-112 |
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| 作者姓名： | 边旭 李江勇 |
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| 作者单位： | 华北光电技术研究所,北京,100015 |
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| 摘 要： | 结合粒子滤波算法基本理论与弱小目标检测问题建立了目标运动与量测模型。针对传统粒子滤波算法存在的问题提出了一种基于分步采样与改进重采样的新型算法,通过软件生成测试图像对算法进行仿真研究,实验结果表明算法具有较高的检测性能并且算法复杂度较低。
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| 关 键 词： | 粒子滤波 TBD 重要性概率密度 贝叶斯估计 分步采样 重采样 |
Research on Track Before Detect algorithm based on particle filter |
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| BIAN Xu,LI Jiang yong. Research on Track Before Detect algorithm based on particle filter[J]. Laser & Infrared, 2015, 45(1): 109-112 |
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| Authors: | BIAN Xu LI Jiang yong |
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| Affiliation: | North China Research Institute of Electro optics, Beijing 100015, China |
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| Abstract: | Combined the basic theory of particle filter algorithm with the small targets detection methods, the models of moving targets and measurement were established. Aiming at the issue of traditional particle filter algorithm, a new algorithm based on two level sampling and improved re sampling is proposed. The algorithm was simulated by the software Matlab. The experiment results show that the algorithm has good performance and simple calculation. |
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| Keywords: | particle filter TBD essentiality PDF Bayesian estimation two level sampling re sampling |
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