一种基于CSI的参数无关接入点定位方法

摘要

With the popularity of location-based services,indoor positioning systems have attracted more and more at tention.WiFi-based indoor localization has attracted a number of attention because of its open access and low cost properties.This paper leveraged the fine-grained channel state information instead of RSSI to reduce the influence of indoor multipath effect at the receiver.We used a model of parameter independent of the positioning system called PILM to determine space position.By extracting effective CSI values and the distance relation model to transform formula,the problem is converted to solve the point which satisfies the condition of the two norm of the minimum vector,that is,using the least square method to solve the problem.Experiments on two kinds of typical indoor scenarios verify the system performance.%随着基于位置的服务的流行,室内定位系统也受到越来越多的关注.基于WiFi的室内定位因其开放访问和低成本的属性而吸引了大量研究人员的目光.通过采用细粒度的信道状态信息CSI代替粗粒度的接收信号强度RSSI可以减少室内多径效应的影响.采用一种与传播模型参数无关的定位方法——PILM来对接入点进行空间定位.通过有效CSI值与距离关系模型的公式变换,将问题转换为求满足最小向量二范数条件的点的坐标,即用最小二乘方法求解.通过在两种典型室内环境的实验验证了系统性能.