基于交互式多模型Cubature卡尔曼滤波的雷达目标跟踪

Yalun Luo, Yurong Liao, Zhaoming Li, Ke Zhang, Haining Wang
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引用次数: 3

摘要

针对非线性机动目标跟踪过程中模型构建困难的问题,研究了基于CV模型和CT模型的交互式多模型算法。在此基础上,设计了一种可用于雷达对空中机动目标跟踪的交互式多模型三维卡尔曼滤波算法。仿真结果表明,与单模型CKF和IMM-UKF相比,IMM-CKF具有更高的跟踪精度和更强的模型适应性,具有重要的工程应用价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Radar Target Tracking Based on Interactive Multi-model Cubature Kalman Filter
Aiming at the difficulty of model construction in the process of nonlinear maneuvering target tracking, the interactive multi-model algorithm based on CV and CT models is studied. Combined, an interactive multi-model cubature Kalman filter algorithm, which can be applied to the radar’s need for air maneuvering target tracking, is designed. The simulation results show that compared with the single model CKF and IMM-UKF, the IMM-CKF has higher tracking accuracy and stronger model adaptability, and has important engineering application value.
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