基于5G通感一体化的车辆成像跟踪方法  

Vehicle Imaging and Tracking Method Based on 5G Synaesthesia Integration

作　　者：张千坤 陈任翔 钟志刚[1] 马广辉[1] 孙志远 Zhang Qiankun;Chen Renxiang;Zhong Zhigang;Ma Guanghui;Sun Zhiyuan(China Information Technology Designing&Consult-ing Institute Co.,Ltd.,Beijing 100048,China)

机构地区：[1]中讯邮电咨询设计院有限公司,北京100048

出　　处：《邮电设计技术》2023年第10期33-39,共7页Designing Techniques of Posts and Telecommunications

摘　　要：为了解决智慧交通领域道路连续无死角监测的难题,提出一种基于5G通感一体化的车辆成像跟踪方法。首先由通感一体化基站接收并解析车辆的反射信号,提取信道状态信息,其次由信道状态信息中所包含的多普勒信息结合恒虚警检测技术实现对动目标的检测,然后采用逆合成孔径雷达技术,对信号进行处理得到目标的成像信息,最后基于卡尔曼滤波实现对多个动目标的跟踪。In order to solve the problem of continuous road monitoring in the field of smart transportation,it proposes a vehicle imaging tracking method based on 5G synaesthesia integration.First,the synaesthesia integration base station receives and analyzes the reflection signal of the vehicle,and extracts the channel status information.Secondly,the Doppler information contained in the channel state information is combined with the constant false alarm detection technology to detect the moving target.Then the inverse synthetic aperture radar technology is used to process the signal to obtain the imaging information of the target.Finally,the multiple moving targets is detected based on the Kalman filter.

关 键 词：5G 通感一体化 跟踪定位 目标成像 智慧交通 

分 类 号：TN929.5[电子电信—通信与信息系统]