文献类型：期刊文献

中文题名：乘性噪声干扰下汽车通信定位系统优化设计

英文题名：Based on Cloud Computing Vision Technology Hit-and-Run Vehicle Positioning System Design

作者：魏红娟[1];朱楠[1]

第一作者：魏红娟

机构：[1]新乡学院计算机与信息工程学院

第一机构：新乡学院计算机与信息工程学院

年份：2012

卷号：20

期号：11

起止页码：3094-3097

中文期刊名：计算机测量与控制

外文期刊名：Computer Measurement & Control

收录：CSTPCD;;北大核心:【北大核心2011】；CSCD:【CSCD_E2011_2012】；

语种：中文

中文关键词：车载定位;信号弱化;关联挖掘

外文关键词：escapes; cloud computing; vehicle positioning

摘要：汽车在运动过程中,乘性噪声会造成通信系统中的GPS信号变弱,使得传统的汽车通信系统定位方法在乘性噪声干扰下,定位误差较大,特征发生变化;传统的车辆定位系统缺乏应对这种乘性噪声干扰的能力,系统无法在干扰下捕获GPS弱信号,造成定位效果不准确;提出一种乘性噪声干扰下汽车通信定位系统设计方法;采用嵌入式分布系统的设计完成GPS信号采集功能,采用新一代的硬件抗干扰设计,在软件设计中,采用了一种增强型信号关联挖掘算法对弱化的GPS信号进行深度挖掘;实验表明这种系统设计方法能够大幅提高乘性噪声干扰下汽车GPS信号定位结果的准确性。
For vehicles in escapes process, moving vehicle in the background image a more rapid transformation, images, there are a lot of similarities interference characteristics, which allows the positioning of the characteristic change. The traditional vehicle positioning system lack of response to the background changes and the ability of pixels interference, the amount of calculation system caused by large time delay, cause orientation effect is not accurate. For this is proposed based on a cloud computing vision technology hit--and--run vehicle positioning system design method. Through the visual collection system to escape the suspicious vehicle of the image of real time data collection, the use of information transmission module send specific information to the terminal, using cloud computing technology, complete the mass informa- tion processing and vehicle positioning. Experiments show that the system design method can greatly improve the spin--off vehicle picture key frames the accuracy of the locating results, positioning accuracy to 65%.