一种消除航迹随机抖动的方法、装置、设备及介质

By combining point-track angle recursive filtering and Kalman filtering, the problem of random track jitter was solved in processing vehicle radar data, thus achieving track stability and accuracy, especially stable tracking of stationary targets.

CN117310709BActive Publication Date: 2026-07-17SHANGHAI BAOLONG AUTOMOTIVE TECH (ANHUI) CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANGHAI BAOLONG AUTOMOTIVE TECH (ANHUI) CO LTD
Filing Date
2022-06-21
Publication Date
2026-07-17

AI Technical Summary

Technical Problem

When processing target trajectory data, vehicle-mounted radar exhibits random jitter, causing the trajectory to become unstable on the horizontal axis.

Method used

A dual filtering method combining point-track angle recursive filtering and Kalman filtering is adopted, which is processed in conjunction with the motion state of the track. This includes point-track angle recursive filtering, Kalman filtering, static target processing, and track angle recursive filtering. By adjusting the weight values ​​and the processing method of the state transition matrix, the random jitter of the target point track is reduced.

Benefits of technology

It effectively eliminates random lateral deviation of the track, reduces random jitter of the target point track, and ensures the stability and accuracy of the track, especially for tracking stationary targets without lateral jitter.

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Abstract

本发明提供一种消除航迹随机抖动的方法、装置、设备及介质,其中消除航迹随机抖动的方法包括:S10获取当前帧的雷达数据,所述雷达数据包括配对后的航迹Tinn和点迹Cinn;S20判断并获取当前帧的航迹类型以及航迹运动状态,依据所述航迹类型以及航迹运动状态,选择关联点迹进行点迹角度递归滤波处理以获取更新后的点迹Cinn在极坐标上的角度CinAn,依据更新后所述CinAn更新所述点迹Cinn;S30依据更新后的所述点迹Cinn对航迹Tinn进行卡尔曼滤波处理,获取目标数据Toutn,所述目标数据Toutn为当前帧的航迹输出值。本发明可改善现有雷达所感知目标航迹在横坐标上发生随机抖动的问题。
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