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基于信道状态的室内定位技术研究 被引量:2

Indoor Localization Using Channel State Information
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摘要 传统的室内定位技术由于RSSI受限于多径效应和时间波动性,定位效果具有很大的不稳定性。采用细粒化的无线状态信道信息,即通过对物理层信道响应的测量来减少多径干扰,并实现采用OFDM和MIMO技术的新一代无线网络条件下的室内定位新方法。分析了定位算法的系统设计,通过802.11n无线网卡采集OFDM系统中特性信道状态信息的频率分集特性参数并经过校准,使之应用于室内定位算法。仿真结果显示相比于传统基于RSSI的定位方法,基于信道状态信息的室内定位系统具有更好的定位精度和稳定性。 Most of the indoor localization systems nowadays are based on received signal strength indicator (RSSI). However, it suffers from dramatic performance degradation in complex situations due to muhipath fading and temporal dynamics. Breaking-through techniques resort to finer-grained wireless channel measurement than RSSI. Different from RSSI, the PHY layer power feature which called channel response is able to discriminate multipath characteristics, thus holds the potential for the convergence of accurate and pervasive indoor localization in OFDM and MIMO wireless network. We use the commercial 802. 11 n NICs, and then evaluate its performance by receiving channel state information (CSI) in indoor environment. The simulation results show that the accuracy can be significantly enhanced by using CSI.
出处 《电声技术》 2015年第10期69-72,共4页 Audio Engineering
基金 浙江省科技厅重大专项(2014NM002)
关键词 室内定位 信道状态信息 物理层 Indoor localization channel state information physical layer
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参考文献8

  • 1PARAMVIR B,VENKATA N P. RADAR:An in -building RF based user location and tracking system[ EB/OL]. [2011 -05 - 10]. [2015 -06 -22]. http://wenku, baidu, com/link url = i2qXpayVAplBWoBM9opXyibM1W6kkOL4vlV_ DOzF5kRG2elOehPlrTuhk97i3 NxGkeKkbC5wzEOrcl mZSsf - pLA3 UZkD8CwI32 - bDYMpNm_.
  • 2ZHANG D, MA J, CHEN Q B. An RF based system for tracking transceiver - free objects [ C ]//Proc. Fifth IEEE International Conference on Pervasive Computing and Comm (PerCom) ,2007 : 135 - 144.
  • 3ZHANG D, NIL. Dynamic clustering for tracking multiple transceiver - free objects [ C ]//Proc. Fifth IEEE Interna- tional Conference on Pervasive Computing and Comm (Per- Corn) ,2009 : 1 - 8.
  • 4NERGUIZIAN C, DESPINS C, AFFES S. Geolocation in mines with an impulse response fingerprinting technique and neural networks[J]. IEEE Trans. on Wireless Communica- tions, 2006:603 -611.
  • 5HALPERIN D, HU W J, SHETH A. Predictable 802. 11 packet delivery from wireless channel measurements [ C ]// Proc. ACMSIGCOMM, 2010 : 1357 - 1362.
  • 6WU K S, XIAO J, YI Y, et al. FILA: Fine -grained indoor localization [ C ]//Proc. IEEE International Conference on Computer Communications( INFOCOM), 2012:2210 - 2218.
  • 7FAZAL K, KAISER S. Multi - carrier and spread spectrum systems: From OFDM and MC -CDMA to LTE and WiMAX [M]. [S. 1. ] :Wiley,2008.
  • 8哈卡米,吴哲夫,徐邦振.基于LANDMARC定位的语音增强技术[J].电声技术,2014,38(9):54-56. 被引量:1

二级参考文献6

  • 1陈汉军,杨雪.欧几里德距离的几种定义与应用[J].天津轻工业学院学报,2003,18(B12):65-66. 被引量:9
  • 2NIL M,LIU Y,LAU Y C,et al.LANDMARC:Indoor location sensing using active RFID[J].Wireless Networks,Netherlands,2004,10:701-710.
  • 3HAN K,CHO S H.Advanced LANDMARC with adaptive knearest algorithm for RFID location system[C] //Proceedings of IC-NIDC 2010.[S.l.] :NTNU-Trondheim,2010.
  • 4RF Code,Inc.RF Code M100[EB/OL].(2013-10-06)[2013-10-28].http://www.rfcode.com/rfid-tags-assetmanagement-m1 00-asset-tag.
  • 5RF Code,Inc.RF Code M250[EB/OL].(2013-12-20)[2013-10-28].http://www.rfcode.com/rfid-reader-inventory-tracking-system-m250-fixed-reader.
  • 6樊伟,刘庆华.传声器阵列语音增强新方法与仿真实验[J].电声技术,2009,33(10):61-65. 被引量:2

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