系统工程与电子技术 ›› 2026, Vol. 48 ›› Issue (5): 1564-1570.doi: 10.12305/j.issn.1001-506X.2026.05.12

• 传感器与信号处理 • 上一篇    下一篇

基于TSUKF-MD的空间机动目标跟踪

窦凇耀(), 陈映(), 鲁耀兵()   

  1. 北京无线电测量研究所,北京 100854
  • 收稿日期:2025-02-14 接受日期:2025-06-23 出版日期:2026-05-27 发布日期:2026-05-27
  • 通讯作者: 陈映 E-mail:1641191627@qq.com;michelle_cy@163.com;luyaobing65@163.com
  • 作者简介:窦凇耀(1999—),男,博士研究生,主要研究方向为雷达数据处理
    鲁耀兵(1965—),男,研究员,博士,主要研究方向为雷达系统总体设计

Space maneuvering target tracking based on TSUKF-MD

Songyao DOU(), Ying CHEN(), Yaobing LU()   

  1. Beijing Institute of Radio Measurement,Beijing 100854,China
  • Received:2025-02-14 Accepted:2025-06-23 Online:2026-05-27 Published:2026-05-27
  • Contact: Ying CHEN E-mail:1641191627@qq.com;michelle_cy@163.com;luyaobing65@163.com

摘要:

针对传统单模型滤波方法无法感知空间目标机动出现的未知加速度从而导致跟踪精度下降的问题,提出一种带机动判决的改进型两段无损卡尔曼滤波跟踪方法。该跟踪方法由一个主滤波器和一个辅滤波器组成。主滤波器不考虑目标未知的加速度输入,辅滤波器从主滤波器的新息中估计目标的加速度输入。通过辅滤波器的加速度估计值感知目标的机动,当判定目标机动时,利用辅滤波器的加速度估计修正主滤波器的目标状态估计,以应对目标在特定时间段内出现的机动动作。仿真结果表明该跟踪方法能够有效地检测出目标机动并估计出目标的机动加速度,目标在机动段的跟踪精度得到了显著提升。

关键词: 两段无损卡尔曼滤波, 目标跟踪, 空间目标, 加速度输入

Abstract:

In response to the issue that traditional single-model filtering methods are unable to perceive the unknown acceleration that emerges during maneuver of space targets, thereby leading to a decrease in tracking accuracy, an improved two-stage unscented Kalman filter tracking approach with maneuver decision (TSUKF-MD) is proposed. This tracking method consists of two filters, namely a primary filter and an auxiliary filter. The primary filter does not take into account the unknown acceleration input of the target, while the auxiliary filter estimates the target’s acceleration input from the innovation of the primary filter. The maneuver of the target is perceived through the acceleration estimate of the auxiliary filter. When the target’s maneuver is determined, the acceleration estimate of the auxiliary filter is utilized to correct the target state estimate of the primary filter in order to deal with the target’s maneuvering actions within a specific time period. Simulation results demonstrate that this tracking method can effectively detect the target’s maneuver and estimate the target’s maneuvering acceleration, and the tracking accuracy of the target during the maneuvering segment has been significantly enhanced.

Key words: two-stage unscented Kalman filter (TSUKF), target tracking, space target, acceleration input

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