面向非视距与密集多径的复杂场景下无线定位机制与方法研究

项目名称： 面向非视距与密集多径的复杂场景下无线定位机制与方法研究

项目编号： No.61301148

项目类型： 青年科学基金项目

立项/批准年度： 2014

项目学科： 无线电电子学、电信技术

项目作者： 肖竹

作者单位： 湖南大学

项目金额： 24万元

中文摘要： 复杂场景下的无线定位技术受到非视距(Non-line-of-sight, NLOS)与密集多径现象的严重制约, 因此研究这种复杂场景下的无线定位机制与方法具有重要意义。本项目研究多径信号幅度和时延的关联特性，建立基于幅度-时延的双变量模型，通过研究多径簇稀疏性的度量方法，提出基于压缩感知理论的直射路径(Direct Path, DP)检测与估计方法；分析测距定位时LOS和NLOS测量数据的统计特性，构建NLOS状态鉴别概率的数学表述方法，针对NLOS状态的时域区间不确定性，提出一种基于可变区间分析方法的NLOS状态鉴别策略；针对严重NLOS场景下无法检测DP的问题，通过探寻障碍物阻挡效应的规避方法，设计多次反射路径滤除算法和目标可能位置优化判定算法，实现基于非直射路径的定位机制与方法。本课题研究成果能为复杂场景下精确定位导航、公共安全和应急救援等领域应用提供理论指导和实践支持。

中文关键词： 无线定位；非视距；车辆定位；；

英文摘要： The application of wireless localization technology is restricted greatly due to NLOS (non-line-of-sight) and dense multipath effect in complex environment. Therefore, there is of signifiance to inestigate the wireless localization mechanism and method in such complex scenario. The project focuses on three issues: (1) By studying a twofold characteristic on multipath amplitude and delay spread, to develop a bi-variable model based on amplitude and delay. Throught designing the measuring for the cluster sparsity of multipath signal, to propose a compressed sensing based DP (Direct Path) detection and estimation method. (2) By analyzing the statistical property of the localization measurements both in LOS (line-of-sight) and NLOS, to develop a mathematical expression of the NLOS status identification probability. Consider the time interval uncertainty of NLOS status, to propose a status identification strategy by employing the alterable interval analysis. (3) Aiming to the localization problem in severe NLOS scenario wherein the DP is undetectable, by designing removal algorithm of the multi-bounce signal and the optimization of the target possible location, to develop a novel localization mechanism which is based on the non-direct path. This project is of great value to provide theoretical guidance and practical

英文关键词： Wireless Localization；NLOS；Vehicle Positioning；；