项目名称: 利用改进MUSIC算法快速定位电动汽车电磁辐射源的实现与验证
项目编号: No.61201024
项目类型: 青年科学基金项目
立项/批准年度: 2013
项目学科: 电子学与信息系统
项目作者: 石丹
作者单位: 北京邮电大学
项目金额: 25万元
中文摘要: 电动汽车由于节能环保的特点得到大力发展。但它功率高,电流大,开关速度快,在9KHz-30MHz频段产生较强的辐射骚扰。目前标准要求,测试时通过扫描确定最大辐射方向后,再在该方向上测试具体辐射值,这需要耗费较长的测试时间(特别是在测试瞬态辐射时,所需时间非常长)。本项目拟引入在通信领域确定来波方向的经典MUSIC算法,将其进行改进和拓展,利用幅度和相位联合补偿,使其应用在近场区域;结合电动汽车辐射源的辐射特性构造导向矢量,使其应用在确定电动汽车最大辐射方向上;并设计实验平台进行验证。同时建立电动汽车主要辐射源和结构的分块模型,结合多种数值计算方法进行仿真计算,进一步验证算法的正确性。本项目为节省测试(特别是瞬时大功率辐射的测试)时间和干扰诊断分析提供了有效手段。
中文关键词: 电动汽车;电磁辐射测试;MUSIC算法;最大辐射方向;定位
英文摘要: Due to the energy saving and air pollution problems,electric vehicle is on its way of great increase in number.However, electromagnetic radiation problem emerges in 9KHz-30MHz for its high power, strong current and high-speed switching operation. According to nowday standards, long measurement time should be spent to find the direction of max radiation source. Classic MUSIC algorithm is applied in this project to find the max radiation direction in near field and determine its postion.Combined compensation of phase and amplitude is used to extend MUSIC algorithm to near field range. In addtion, steering vectors are constructed utilizing characteristics of radiation source of electric vehicle.Experiment platform is set up to verify the modified MUSIC algorithm. Block models of major radiation sources with different numerical methods are applied to speed up the simulation. This project provides an efficient way to save measurement time and diagnose radiation problem.
英文关键词: electric vehicle;electromagnetic radiation test;MUSIC algorithm;maximum radiation direction;location