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首页> 外文期刊>IEEE sensors journal >Cooperative Method for Distributed Target Tracking for OFDM Radar With Fusion of Radar and Communication Information
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Cooperative Method for Distributed Target Tracking for OFDM Radar With Fusion of Radar and Communication Information

机译：雷达和通信信息融合的OFDM雷达分布式目标跟踪的协作方法

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摘要

Radar systems based on orthogonal ifrequency-division multiplexing (OFDM) are promising candidates for future intelligent transport networks because they combine target-estimation functions with communication network functions in one single system. By exploring this dual functionality, this paper presents a new cooperative method for distributed target tracking for multiple-input multiple-output (MIMO) OFDM radar systems. The proposed method employs a cascading information-fusion approach. First, the ego-vehicle performs a multi-target estimation by fusing the radar signals reflected by the targets with the communication signals it receives. Then, the ego-vehicle performs a tracking process, fusing its estimates with the estimates made by other in-network vehicles. By exploring the cooperation between vehicles, the proposed method enables the distributed tracking of targets. The result is a highly accurate multi-target tracking across the entire cooperative vehicle network, leading to improvements in transport reliability and safety. The proposed method is validated through simulations and laboratory measurements at 24 GHz.
机译：基于正交IFRIQUENCY分割复用（OFDM）的雷达系统是未来智能传输网络的承诺候选者，因为它们将目标估计函数与一个单一系统中的通信网络功能组合起来。通过探索这种双重功能，本文提出了一种用于多输入多输出（MIMO）OFDM雷达系统的分布式目标跟踪的新协作方法。该方法采用级联信息融合方法。首先，通过融合由其接收的通信信号融合目标反射的雷达信号来执行多目标估计。然后，自助式车辆执行跟踪过程，利用其他网络车辆制造的估计来融合其估计。通过探索车辆之间的合作，所提出的方法使目标的分布式跟踪能够。结果是整个合作车辆网络的高度精确的多目标跟踪，导致运输可靠性和安全性的改进。通过24 GHz的模拟和实验室测量验证了所提出的方法。

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