一种新的基于二阶统计量的室内定位方法  

New indoor localization method based on second-order statistic

作　　者：饶中初 郭贤生[2] 

机构地区：[1]同方电子科技有限公司,江西九江332007 [2]电子科技大学电子工程学院,四川成都610054

出　　处：《现代电子技术》2015年第15期18-21,共4页Modern Electronics Technique

摘　　要：为了解决复杂室内环境下的近场源定位问题,利用室内小型天线阵列,提出一种近场多径模型下的协方差矩阵匹配及信号子空间匹配定位方法,较好地解决了传统近场源定位算法中无法解决的多径传播问题。一方面,该方法改善了室内定位环境中由于模型失配引起的定位性能恶化问题;另一方面,它也为近场多径环境下的目标定位提供了一种新的解决思路。仿真结果表明,该算法不仅在定位精度上有了较大改善,而且在定位成功概率方面具有较大优势。To solve the localization problem of near?field source in complex indoor circumstance,the localization methods of covariance matrix matching and signal subspace matching based on near?field multipath model are proposed by using small an?tenna array in indoor,which can better solve multipath propagation problem which can′t be solved in traditional near?field source localization algorithms. These algorithms improved the localization performance deterioration caused by model mismatching in indoor localization circumstance and offered a new solution to object localization in near?field multipath circumstance. Simula?tion results show that the proposed algorithms have made a great improvement in localization accuracy,and have greater advan?tage in the aspect of localization success probability.

关 键 词：室内定位 空间谱 子空间匹配 二阶统计量 

分 类 号：TN911.7[电子电信—通信与信息系统]