一种基于毫米波雷达的目标自适应航迹匹配的方法和系统
By adaptively setting the track matching threshold of the millimeter-wave radar and combining it with Kalman filtering, the problem of large track matching error in maneuvering target tracking was solved, achieving higher tracking accuracy and lower computational load, thus optimizing the target tracking effect.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- SHENZHEN HUAJIE ZHITONG TECH CO LTD
- Filing Date
- 2023-08-22
- Publication Date
- 2026-07-17
AI Technical Summary
In existing millimeter-wave radars, the problem of track matching in tracking moving targets is difficult to adjust the correlation threshold in real time, resulting in poor target tracking performance. This is especially true in areas with dense targets, where track matching errors are prone to occur and the computational load increases.
By utilizing multidimensional target information and historical measurement information, the trajectory matching threshold is adaptively set, and target tracking is performed in conjunction with Kalman filtering. The trajectory matching threshold is adjusted in real time to select the best matching trajectory and reduce the amount of data computation.
It improves the accuracy of track matching, reduces computational load, and optimizes target tracking performance, especially in situations with dense targets and clutter, thereby enhancing data processing speed and tracking effectiveness.
Smart Images
Figure CN117169868B_ABST