摘要
针对基于信号接收强度指示(Received Signal Strength Indicator,RSSI)的无线传感器网络室内定位易受到复杂环境的影响、不稳定等问题,提出一种自适应的动态测距室内定位算法(selfadaptively dynamic ranging,SADR),采用节点RSSI建立动态测距模型,实时更新模型中环境参数,利用改进的代价参考粒子滤波进行测距,运用最小二乘法计算目标位置。仿真和实验结果表明,算法适应复杂环境,提高了定位精度,满足无线传感器网室内定位需求。
Aiming at the problems that the indoor localization of algorithms for wireless sensors networks （WSNs） based on RSSI are easy to be interfered and the system is unstable, an algorithm called self- adaptively dynamic ranging （SADR） is proposed. The RSSIs of anchors are used to build dynamic ranging model and the parameters of the environment update online. The improved cost reference particle filter is used to measure distance between object and reference anchor, and then position of object is computed by least squares algorithm. Simulations and experiment results show that the proposed SADR algorithm has a higher precision in complex environment, and can meet requirements of low-cost indoor location systems.
作者
谢娟
魏智
赵鲁阳
何为
李凤荣
XIE Juan1,2, WEI Zhi1, ZHAO Lu-yang1, HE Wei1, LI Feng-rong1(1. Broadband Wireless Mobile Communications Research Technology Lab, Shanghai Institute of Microsystem and Information Technology Chinese Academy of Sciences, Shanghai 200050, China ; 2. University of Chinese Academy of Sciences, Beijing 100049, Chin)
出处
《电子设计工程》
2018年第6期22-27,共6页
Electronic Design Engineering
基金
上海市青年科技英才扬帆计划资助(15YF1414500)
中科院科技服务网络计划(KFJ-SW-STS-155)
