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- W3097735503 abstract "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." @default.
- W3097735503 created "2020-11-09" @default.
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- W3097735503 date "2021-07-15" @default.
- W3097735503 modified "2023-10-17" @default.
- W3097735503 title "Cooperative Method for Distributed Target Tracking for OFDM Radar With Fusion of Radar and Communication Information" @default.
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- W3097735503 doi "https://doi.org/10.1109/jsen.2020.3033767" @default.
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