中国空间科学技术

中国空间科学技术

• •    

融合距离变化率的微分平滑

贺明科,朱炬波,马顺南,刘秋辉   

  1. 国防科技大学,国防科技大学,海军实验基地,海军实验基地 长沙410073 ,长沙410073 ,大连116023 ,大连116023
  • 发布日期:2003-04-25

Differential Smoothing of Fused Range Rate

He Mingke Zhu Jubo (National University of Defense Technology, Changsha 410073) Ma Shunnan Liu Qiuhui (Naval Base of Test, Dalian 116023)$$$$   

  • Online:2003-04-25
  • Supported by:
    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

被引次数

3

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。

关键词: 目标跟踪, 数据平滑, 最小二乘法, 仿真

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.