徐琨,刘宏立,马子骥,詹杰.容忍多径效应的无线传感网络测距算法[J].仪器仪表学报,2017,38(10):2461-2468
容忍多径效应的无线传感网络测距算法
Multipath tolerant ranging algorithm in underground tunnel for wireless sensor networks
  
DOI:
中文关键词:  无线传感网络  接收信号强度指示值  测距  多径效应  路径损耗
英文关键词:wireless sensor networks(WSN)  received signal strength indicator(RSSI)  ranging  multipath effect  path loss
基金项目:国家自然科学基金(61771191,61172089, 61540012)、中央国有资本经营预算支出(财企[2013]470号)、中央高校基本科研(2014-004)、中国博士后科研基金(2014M562100)、教育部产学合作协同育人(201601004010)、湖南省科技计划重点(2015JC3053)项目资助
作者单位
徐琨 湖南大学电气与信息工程学院长沙410082 
刘宏立 湖南大学电气与信息工程学院长沙410082 
马子骥 湖南大学电气与信息工程学院长沙410082 
詹杰 湖南科技大学物电学院湘潭411201 
AuthorInstitution
Xu Kun College of Electrical and Information Engineering, Hunan University, Changsha 410082, China 
Liu Hongli College of Electrical and Information Engineering, Hunan University, Changsha 410082, China 
Ma Ziji College of Electrical and Information Engineering, Hunan University, Changsha 410082, China 
Zhan Jie College of Physics and Electronic Science, Hunan University of Science and Technology, Xiangtan 411201, China 
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中文摘要:
      在井下巷道环境中,基于RSSI的测距精度会受到多径效应和外部无线干扰的严重影响。针对这一问题,提出了一个新的基于RSSI的测距算法RRRME。该算法针对弯道弯曲面引起的额外衰减,从几何光学的角度来解决多径效应所带来的影响,分别分析了视距和非视距情况下无线信号传输所引起的路径衰减,重构了井下巷道环境中路径衰减和距离之间的函数关系,推导了多条传输路径所导致的测距误差。通过一系列的实测实验,对提出的算法进行验证,详细分析了井下环境中基于RSSI的测距性能,讨论了有重要影响的多径衰减因子和路径损耗因子对测距精度的影响。实验和仿真结果表明,和传统的RSSI测距方法相比,提出的RRRME算法具有更优的测距精度。
英文摘要:
      The accuracy of RSSI based ranging is severely affected by multipath effect and external radio interference in underground mine tunnel environments. To solve this problem, a novel RSSI based ranging algorithm is proposed which overcomes the multipath effect by applying geometrical optics rules in analyzing RSSI measurements in both Line of Sight and Non Line of Sight scenario. The proposed algorithm can reconstruct a function for path loss and the physical distance which can help minimize the ranging error caused by multipath transport. Extensive real experiments are conducted in underground tunnel environments and the accuracy of the proposed ranging algorithm is analyzed. The impact of representative system parameters on the ranging, including multipath attenuation factor and path loss exponent, are discussed. Experiment and simulation results demonstrate that the proposed algorithm outperforms conventional RSSI based ranging method without using any radio map information nor a calibration stage.
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