Interference avoidance and cancellation in automotive OFDM radar networks
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Interference avoidance and cancellation in automotive OFDM radar networks Yu-Chien Lin 1 & Ta-Sung Lee 1 & Chia-Hung Lin 1 Received: 14 September 2019 / Revised: 21 February 2020 / Accepted: 16 April 2020 # Springer Science+Business Media, LLC, part of Springer Nature 2020
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. Keywords OFDM radars . Millimeter-wave radars . Interference avoidance . Interference cancellation . Logical channel selection
1 Introduction Frequency modulated continuous wave (FMCW) and orthogonal frequency division multiplexing (OFDM) waveforms are widely discussed for use in automotive radars owing to their low measurement time and peak-to-average power ratio compared to other conventional radar waveforms [1]. They can provide high-resolution measurements of the targets’ range and Doppler velocity [2]. FMCW and OFDM radars acquire range and Doppler velocity information from the sinusoidal components, which directly reflect the target’s propagation delay and Doppler shift [3]. With the increasing use of millimeter-wave radars for guidance, collision avoidance, and proximity-sensing applications,
* Ta-Sung Lee [email protected] Yu-Chien Lin [email protected] Chia-Hung Lin [email protected] 1
Institute of Communications Engineering and Center for mmWave Smart Radar Systems and Technologies, National Chiao Tung University, Hsinchu, Taiwan
the probability of vehicle-to-vehicle interference becomes a significant issue, which leads to false target detection. In FMCW radars, mutual interference issues are widely discussed. In [4], several types of mutual interference between automotive radars are discussed and the current status of existing solutions is summarized. In [5], based on estimated parameters associated with interference of FMCW waveforms, the authors proposed a cancellation-based mechanism to reconstruct and remove the interference effectively. However, it cannot deal with multiple interference sources. In [6], a two-stage sup
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