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作 者:陈智[1] 曾歆 CHEN Zhi;ZENG Xin
机构地区:[1]同济大学,上海201804
出 处:《信息技术与信息化》2018年第9期95-98,101,共5页Information Technology and Informatization
基 金:国家科技支撑计划"2015BAG19B02"
摘 要:轨道交通以其快速、便捷、运量大和准时等特点,越来越多的被人们选择为出行的首要交通工具。轨道交通的车地通信是保证轨道交通安全的重要环节。面对日益复杂的车地通信的无线环境,必须有效的检测出各种干扰,才能采取有效措施,保证行车安全。针对车地通信的无线干扰以及经典能量检测法的不足,本文利用接收信号的能量谱线,采用连续均值递增(CMA,Consecutive Mean Addition)方法估计干扰门限,进行干扰检测。仿真结果表明,本文算法的检测性能优于经典能量检测法。Rail transit is increasingly being chosen as the primary means of transportation due to its characteristics of rapidity, convenience,large capacity, and punctuality. Train-to-ground communication is an important link to ensure the safety of rail transit. In face of the increasingly complex wireless environment of train-to-ground communications, various types of interference must be effectively detected in order to take effective measures to ensure traffic safety. This paper uses the energy spectrum of the received signal to estimate the interference threshold using Continuous Mean Addition (CMA) method to achieve interference detection in the train-to-ground communication. The simulation result shows that performance of the algorithm in this paper is better than the classical energy detection method.
分 类 号:U231.7[交通运输工程—道路与铁道工程]
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