Recently, new types of interference in electric vehicles (EVs), such as
converters switching and/or battery chargers, have been found to degrade the
performance of wireless digital transmission systems. Measurements show that
such an interference is characterized by impulsive behavior and is widely
varying in time. This paper uses recorded data from our EV testbed to analyze
the impulsive interference in the digital audio broadcasting band. Moreover, we
use our analysis to obtain a corresponding interference model. In particular,
we studied the temporal characteristics of the interference and confirmed that
its amplitude indeed exhibits an impulsive behavior. Our results show that
impulsive events span successive received signal samples and thus indicate a
bursty nature. To this end, we performed a data-driven modification of a
well-established model for bursty impulsive interference, the Markov-Middleton
model, to produce synthetic noise realization. We investigate the optimal
symbol detector design based on the proposed model and show significant
performance gains compared to the conventional detector based on the additive
white Gaussian noise assumption.

电动汽车中的干扰行为被观察和研究，通过分析其时间特性，建立了脉冲干扰模型，并基于该模型设计了优化的符号检测器，实验证明相比于传统的高斯白噪声假设的检测器，获得了显著的性能提升。