Huang, J; Fei, Z; Wang, T; Wang, X; Liu, F; Zhou, H; Zhang, JA; Huang, J; Fei, Z; Wang, T; Wang, X; Liu, F; Zhou, H; Zhang, JA; Wei, G; - view fewer (2019) V2X-Communication Assisted Interference Minimization for Automotive Radars. China Communications , 16 (10) pp. 100-111. 10.23919/JCC.2019.10.007.

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Abstract

With the development of automated driving vehicles, more and more vehicles will be fitted with more than one automotive radars, and the radar mutual interference will become very significant. Vehicle to everything (V2X) communication is a potential way for coordinating automotive radars and reduce the mutual interference. In this paper, we analyze the positional relation of the two radars that interfere with each other, and evaluate the mutual interference for different types of automotive radars based on Poisson point process (PPP). We also propose a centralized framework and the corresponding algorithm, which relies on V2X communication systems to allocate the spectrum resources for automotive radars to minimize the interference. The minimum spectrum resources required for zero-interference are analyzed for different cases. Simulation results validate the analysis and show that the proposed framework can achieve near-zero-interference with the minimum spectrum resources.

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