| 融合距离变化率的微分平滑 |
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| 引用本文： | 贺明科,朱炬波,马顺南,刘秋辉.融合距离变化率的微分平滑[J].中国空间科学技术,2003,23(2):11-14,22. |
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| 作者姓名： | 贺明科 朱炬波 马顺南 刘秋辉 |
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| 作者单位： | [1]国防科技大学，长沙410073 [2]海军实验基地，大连116023 |
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| 基金项目： | 教育部振兴计划骨干教师和 2 0 0 1年优秀博士论文作者专项基金项目资助 |
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| 摘 要： | 研究了目标跟踪中，测量信息为目标的斜距、方位角、高低角和距离变化率时的微分平滑求速算法。该方法融合了位置信息和距离变化率信息。仿真结果表明，该方法能提高速度参数的估计精度。
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| 关 键 词： | 目标跟踪 距离变化率 微分平滑 数据融合 最小二乘法 |
Differential Smoothing of Fused Range Rate |
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| He Mingke,Zhu Jubo.Differential Smoothing of Fused Range Rate[J].Chinese Space Science and Technology,2003,23(2):11-14,22. |
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| Authors: | He Mingke Zhu Jubo |
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| Abstract: | In target tracking system, some radar can provide the measurements such as slant range, elevation, azimuth and range rate. Discussed in this paper is a polynomial least squares differential smooth algorithm used to determine velocity of targets by these measurement. The algorithm in this paper fuses state information and range rate information. And the simulation results indicate that this algorithm can increase the estimate accuracy of velocity. |
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| Keywords: | Target tracking Data smoothing Least square method Emulation |
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