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Interference avoidance and cancellation in automotive OFDM radar networks

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Abstract

With increasing use of millimeter-wave radars in driving safety applications, interference between vehicles becomes a significant issue. Moreover, oscillator imperfections and relative velocity effects induce inter-carrier interference (ICI) owing to frequency offset, leading to degradation of target detection. In this paper, time-frequency resources are divided into several orthogonal logical channels according to the time-frequency division (TFD) scheme. We propose a two-stage interference mitigation method. First, an interference avoidance technique is designed for each piece of radar equipment (RE) to select logical channels with the least ICI. Then, each RE reconstructs and cancels interference according to estimated parameters based on the proposed interference cancellation technique. Computer simulations reveal that the proposed interference avoidance technique can approximately achieve the performance of ground truth, especially when the number of interferers is small. In addition, noise enhancement effects can be effectively mitigated through the proposed cancellation technique.

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Acknowledgements

This work was partially supported by the “Center for mmWave Smart Radar Systems and Technologies” and the “Center for Open Intelligent Connectivity” under the Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education (MOE) of Taiwan. This work was also partially supported by QUALCOMM TECHNOLOGIES, INC. under the research collaboration agreement no. NAT-408929.

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Authors and Affiliations

  1. Institute of Communications Engineering and Center for mmWave Smart Radar Systems and Technologies, National Chiao Tung University, Hsinchu, Taiwan

    Yu-Chien Lin, Ta-Sung Lee & Chia-Hung Lin

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  1. Yu-Chien Lin
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  2. Ta-Sung Lee
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  3. Chia-Hung Lin
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Correspondence to Ta-Sung Lee.

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Lin, YC., Lee, TS. & Lin, CH. Interference avoidance and cancellation in automotive OFDM radar networks. J Sign Process Syst 92, 1383–1396 (2020). https://doi.org/10.1007/s11265-020-01539-w

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