| 引用本文: | 罗鹏飞.机动目标跟踪的修正输入估计(MIE)算法与自适应α-β算法.[J].国防科技大学学报,1992,14(1):30-36.[点击复制] |
| Luo Pengfei.Studies of Algorithms for Maneuvering Target Tracking[J].Journal of National University of Defense Technology,1992,14(1):30-36[点击复制] |
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| 机动目标跟踪的修正输入估计(MIE)算法与自适应α-β算法 |
| 罗鹏飞 |
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(电子技术系)
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| 摘要: |
| 机动目标的跟踪是雷达数据处理中的重要问题，对此进行了探讨的代表性的算法有Singer 算法、IE算法、VD 算法、IMM算法等。本文提出了修正的输入估计 (MIE)与自适应的α-β两种新算法。MIE 算法性能与 IE算法相当，但运算量比 IE 算法小。自适应α-β算法的性能略低于以上几种算法，但运算量则大大低于上述几种算法，在对性能要求不很高的情况下，采用这种算法是较为合适的。 |
| 关键词: 雷达，数据处理，卡尔曼滤波，跟踪 |
| DOI： |
| 投稿日期：1991-03-16 |
| 基金项目: |
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| Studies of Algorithms for Maneuvering Target Tracking |
| Luo Pengfei |
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(Department of Electronic Technology)
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| Abstract: |
| Maneuvering target tracking is an important problem in radar data processing. Several algorithms such as Singer，IE，VD，and IMM algorithms have been studied in the last few years and have been summerized in this paper. The real time constrains have to be considered in application. This paper presents a modified input estimstion (MIE) algorithm and an adaptive α-β algorithm. Both algorithms require a minimum amount of computation. Computer simulation studies have shown the effectiveness of the two algorithms in tracking maneuvering targets. |
| Keywords: radar,data processing,Kalman filtering,tracking |
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