基于RSSI的自适应权重定位算法  

Adaptive weighted localization algorithm based on RSSI

作　　者：刘宏立[1] 周登[1] 徐琨[1] 胡久松[1] LIU Hong-li ZHOU Deng XU Kun HU Jiu-song(College of Electrical and Information Engineering, Hunan University, Changsha 410082, China)

机构地区：[1]湖南大学电气与信息工程学院,湖南长沙410082

出　　处：《传感器与微系统》2017年第3期140-143,共4页Transducer and Microsystem Technologies

基　　金：国家自然科学基金资助项目(61172089);湖南省科技厅资助项目(2012FJ4119);中国博士后科研基金资助项目(2014M562100);湖南省科技计划重点项目(2015JC3053)

摘　　要：在室内环境中,由于存在多径、反射的影响,采用传统的静态权重质心定位(SWCL)方法无法得到准确的定位精度。针对这一问题,提出了一种新的基于接收信号强度指示(RSSI)的动态自适应静态权重质心定位(RSSI—DA—SWCL)算法。对RSSI测距算法优化,消除不同发射功率和其它突发干扰对测距的影响;利用锚节点和未知节点距离等信息,让锚节点自适应地获得最优的权重系数,从而提高定位精度;将RSSI—DA—SWCL算法在ZigBee平台中实现,并通过Maltab仿真和实测实验对算法进行验证。结果表明:和传统的定位算法相比,提出算法具有更优的定位精度。Traditional static weighted centroid location（ SWCL） cannot get accurate positioning precision because of influence of the multipath,reflection in indoor environment. Aimming at the problem,a new adaptive weighting positioning algorithm based on RSSI—DA—SWCL is proposed. The algorithm optimize the RSSI ranging method to eliminate the different node transmission power and other sudden interference effects on RSSI ranging. The algorithm use the information of anchor nodes and unknown nodes distance to dynamic let anchor nodes obtain the optimal weight coefficient adaptive,and it can improve positioning precision. RSSI—DA—SWCL algorithm is performed on the ZigBee platform,the RSSI—DA—SWCL algorithm performs better in terms of location precision by Matlab simulation and actual experiments compared to traditional localization algorithm.

关 键 词：无线传感器网络 动态加权 质心定位算法 接收信号强度指示测距 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]