不完全测量条件下车辆目标运动参数的次优估计算法

Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering Pub Date : 1900-01-01 DOI:10.5220/0008872301140120

Sujuan Chen

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引用次数: 0

摘要

:车辆目标跟踪系统在城市道路上行驶时，雷达的探测概率往往小于1，可能出现测量数据丢失问题。本文研究了车辆目标跟踪系统的稳定性，给出了均方指数在不完全测量条件下稳定的充分条件。给出了一种检测概率已知的不完全测量条件下车辆目标跟踪运动参数的次优估计算法。仿真结果表明，该滤波算法是有效的。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A Suboptimal Estimation Algorithm for Vehicle Target Motion Parameters with Incomplete Measurement

: The detection probability of the radar of the vehicle target tracking system is often less than 1 during driving on urban roads, and the measurement data loss problem may occur. In this paper, the stability of the vehicle target tracking system is studied and the sufficient conditions are given for the stability of the mean-square exponent under incomplete measurement conditions. A suboptimal estimation algorithm for vehicle target tracking motion parameters under incomplete measurement conditions is given when the detection probability is known. The simulation results show that the proposed filtering algorithm is effective.

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Proceedings of 5th International Conference on Vehicle, Mechanical and Electrical Engineering

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