舰船电子工程2024,Vol.44Issue(2) :104-108.DOI:10.3969/j.issn.1672-9730.2024.02.022

自适应CT模型的强跟踪CKF算法

Strong Tracking Cubature Kalman Filter Algorithm for Adaptive Coordinated Turn Model

张彪 孙超军 徐嘉辉 范婉华
舰船电子工程2024,Vol.44Issue(2) :104-108.DOI:10.3969/j.issn.1672-9730.2024.02.022

自适应CT模型的强跟踪CKF算法

Strong Tracking Cubature Kalman Filter Algorithm for Adaptive Coordinated Turn Model

张彪 1孙超军 1徐嘉辉 1范婉华1
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作者信息

  • 1. 上海航天电子技术研究所 上海 201109
  • 折叠

摘要

自适应协同转弯(CT)模型可以用于对转弯机动目标进行跟踪.由于转弯率变化,状态方程为非线性,同时雷达测量数据以极坐标系形式给出,在直角坐标系下建立的观测方程具有很强的非线性.论文利用强跟踪容积卡尔曼滤波(CKF)来实现非线性滤波处理,并将其与标准的容积卡尔曼滤波进行比较.通过对变转弯率机动目标跟踪的仿真,表明该算法能稳定跟踪变转弯率目标,且跟踪精度高.

Abstract

The target making a turning maneuver can be tracked utilizing the adaptive coordinated turn(CT)model.The state equation is nonlinear due to the change of turning rate.The observation equation established in Cartesian coordinate system has a strong nonlinearity while the measurement data is gived in the form of polar coordinates.This paper implements the nonlinear filter by the strong tracking cubature kalman filter(STCKF)and compares it with the standard cubature kalman filter.The simulation of the maneuvering target tracked with variable turning rates shows that the algorithm can stably track targets with various turning rates and get a high tarcking accuracy.

关键词

自适应协同转弯/强跟踪容积卡尔曼滤波/非线性滤波/机动目标跟踪

Key words

adaptive coordinated turn/strong tracking cubature Kalman filter/nonlinear filter/maneuvering target tracking

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出版年

2024
舰船电子工程
中国船舶重工集团公司第709研究所 中国造船工程学会 电子技术学术委员会

舰船电子工程

CSTPCD
影响因子:0.243
ISSN:1627-9730
参考文献量12
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