An Efficient Tracking Method Based on Multipath Utilization in Traffic Scenarios
Xiaoxi Ma, Haoran Wang, Yuanhang Wu, Chenyu Zhang, Wei Yi · 2023
Radar has been widely used in the field of traffic with the development of radar detection and tracking technology. However, the traffic scene is complex, where some targets generate multipath due to the reflection of electromagnetic waves. The multipath phenomenon affects the tracking results and cause many errors. Most existing techniques identify multipath targets and eliminate them, which do not utilize the target information in multipath measurements. This paper proposes an algorithm to reduce the tracking error by using the multipath target information. By modeling the propagation path of multipath and the tracking process, the target information is obtained. Our algorithm can not only remove the false multipath target but also feed back the real world information contained in the multipath target in the tracking process. Moreover, the experimental results show that our algorithm can effectively improve the tracking accuracy and robustness of multipath targets.