基于变维卡尔曼滤波的塔康距离跟踪算法
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张建明(1968.5-),山西平遥人,高级工程师,主要研究方向为陆基无线电导航系统总体设计

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TN953

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Real-Time Distance Track Algorithm for TACAN Based on Variable Dimension Kalman Filter
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    摘要:

    为提高跟踪精度,在塔康系统距离测量中,可采用 Kalman 和α-β算法对距离测量值进行滤波。要确保处理精度,采用 Kalman 滤波器,状态变量取的会比较多,而α-β算法是一种常增益滤波器,会出现发散情况。针对两种滤波器的不足,提出了变维 Kalman 滤波的塔康距离跟踪算法,该算法建立距离测量的非机动模型和机动模型,通过距离滤波在机动和非机动两种模型间的自适应切换,完成塔康距离实时跟踪。应用 Monte Carlo 方法仿真表明:该算法可实现塔康距离的实时跟踪,而且距离测量准确度有了一定提高。

    Abstract:

    To improve the precision of distance measure, Kalman and α-β algorithm are used in distance filter. To guarantee processing precision, many variables are used in Kalman algorithm. The α-β algorithm is a kind of constant plus filters. The volatilizable phenomena would happen. Considering the shortage of Kalman and α-β , a kind of real-time distance track algorithm for TACAN based on variable dimension Kalman filter is proposed. Non-maneuvering model and maneuvering model of distance measuring are constituted. The adaptive filter may be converted between non-maneuvering models and maneuvering model, and the real time distance track for TACAN is accomplished. The result of Monte Carlo simulation indicates the algorithm can achieve the real time distance track and the precision is improved obviously.

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张建明.基于变维卡尔曼滤波的塔康距离跟踪算法[J].现代导航,2017,8(4):257-262

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  • 在线发布日期: 2022-05-17
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