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机构地区:[1]南昌大学电子信息工程系,南昌330031 [2]青海大学水电系,西宁810016
出 处:《系统仿真学报》2011年第6期1093-1097,共5页Journal of System Simulation
基 金:国家自然科学基金(60762005);江西省自然科学基金(2008GQS0065);江西省教育厅科技项目(GJJ08013);教育部重点实验室开放式基金项目(L07-4)
摘 要:为解决高密城区室外蜂窝网络精确定位问题,提出一个基于反演传播模型与相邻点几何约束的无线蜂窝网络定位方法。该方法使用相邻多个小区接收信号场强的差分作为电波传播特征参数,通过运用反演传播模型处理所接收的场强数据,建立指定区域的电波传播特征数据库;在此基础上采用匹配搜索算法进行初始定位估计,并将定位估计点与其相邻点的几何约束条件作为重要特征引入匹配搜索算法,以便于定位搜索结果尽可能最优。通过对中国珠海的多个不同无线环境中进行试验验证结果表明,使用这一方法定位精度小于100米的概率达到76.04%,定位精度小于300米的概率达到99.48%,对192个采样点的平均定位误差为59.67米。In order to solve the problem of the position estimation of the mobile-station in the outdoor urban environments,a novel position method,based on the inversion propagation model and geometric constraints,was proposed.The method considered the RSS(Received Signal Strength)difference from adjacent multi-cells as the propagation characteristic parameters.Firstly,the parameter database of radio propagation was established by the inversion propagation model and the position information estimated by a pattern searching method.Then an optimization method was used to improve the location accuracy through the geometric constraints between one point and its adjacent point.The effectiveness of the proposed method has been demonstrated using experiments under various radio environments in Guangdong,China.The result shows that the position searching method can locate the user with about the accuracy of 100 m in 76.04% and 300m in 99.48% respectively.The mean error of 192 samples is 59.67m.
分 类 号:TN929.53[电子电信—通信与信息系统]
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