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多模自适应WIFI无线图构建与定位方法 被引量:3

Multi-model adapted WIFI radio map construction and positioning method
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摘要 针对室内情况复杂,单一方法难以对WIFI信号强度(RSS)的无线分布图(RM)准确估计建模,导致基于RSS分布模型的WIFI室内定位方法精度无法有效提高的问题,提出多模自适应的WIFI无线图构建与定位方法。创建多项式RSS分布模型并与多种电波室内传播模型结合构成多模候选集,通过最小二乘法计算各模型参数的最优无偏估计值,以模型预测残差为依据自动选择最佳分布模型构建无线图并用于定位。实验表明该方法能更准确估计出WIFI信号的室内分布情况,有效提高WIFI室内定位精度。 Radio map of WIFI signal strength (RSS) is hard to establish by single distribution model because of complicated indoor environment, which degrades the performance of indoor positioning. This study proposes a multi- model adapted method to choose more optimal RSS distribution model in order to improve positioning accuracy. Least square is employed to estimate the unbiased estimation of every distribution model parameter then prediction residuals are carried out to evaluate the accuracy of model to describe the RSS distribution. Experiments prove that through these automatically evaluated and chosen distribution models,indoor WlFI positioning performances are improved effectively.
出处 《电子测量技术》 2013年第9期112-114,122,共4页 Electronic Measurement Technology
关键词 WIFI定位 无线图 室内电波模型 多模自适应 WIFI positioning radio map indoor transmit model multi-model adapted
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  • 1苗强,吴德伟,毛玉泉.多基站无源定位技术在区域定位网络中的应用[J].现代雷达,2007,29(8):12-14. 被引量:12
  • 2Ni L M, Liu location sensing Networks, 2004, Lau Y C, et al. LANDMARC: indoor using active RFID:J:. Wilvless 10 (6) : 701-710.
  • 3Ray J K, Cannon M E, Fenton P C. Mitigation of static carrier-phase multipath effects using multiple closely spaced antennas [J]. Navigation-Washington, 1999, 46 (3) : 193-202.
  • 4MAIER G, FELDMANN A, PAXSON V, et al. Dominant characteristics of residential broadband internet traffic [ C ]. Internet Measurement Conference, ACM, 2009:90-!02.
  • 5RAGHAVENDRA R, BELDING E, PAPAGIANNAKI K, et al. Unwanted link layer traffic in large IEEE 802. 11 wireless networks[J]. IEEE Transactions on Mobile Computing, 2010, 9(9) : 1212-1225.
  • 6NGUYEN H, SCALOSUB G, ZHENG R. Quality of monitoring for multi-channel wireless infrastructure networks[J]. IEEE, 2014, 13(3):664-677.
  • 7KASHYAP A, PAUL U, DAS S R. Deconstructing interference relations in WiFi networks[C]. SECON, IEEE, 2010:1-9.
  • 8SEYEDZADEGAN M, OTHMAN M. Class-based weighted window for TCP Fairness in WLANs EJ]. International Conference on Future Networks, 2009, 13(4): 196-202.
  • 9KASHIBUCHI K, JAMALIPOUR A, KATO N. Channel occupancy time based TCP rate control for improving fairness in IEEE 802. 11 DCF[J]. IEEE, 2010,59(6):2974-2985.
  • 10GAO Y Y, DAI L. Optimal downlink/ uplink throughput allocation for IEEE 802. 11 DCF networks[J]. Wireless Communications Letters, IEEE, 2013, 2(6):627-630.

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