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基于LTE方向型传播模型的模拟退火加权定位算法

Simulated Annealing for Weighted Localization Algorithm Based on LTE Directional Propagation Model
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摘要 针对LTE网络采集到的MRO数据,提出一种基于LTE方向型传播模型的模拟退火加权定位算法。先结合LTE定向天线和小区特性,引入方向型参量提出基于RSS的方向型传播模型,对传统的信号传播模型COST-231Hata进行改进;然后提出距离比加权算法消除RSS波动误差,将定位问题转换为一元求解问题,使用模拟退火算法计算最优解;最后通过距离椭圆模型对结果进行方位校正,得到最终终端定位结果。算法对比实验结果表明,基于LTE方向型传播模型的模拟退火加权定位算法具有较高的定位精度,完全符合FCC规定的定位精度要求。 According to the collected MRO(Measurement Report Original) data on LTE(Long Term Evolution), the simulated annealing for weighted localization algorithm based on the LTE directional propagation model was proposed. Firstly, combined with the LTE directional antenna and cell site characteristics, the directional propagation model based on RSS with introducing the direction type parameter was put forward, which improves the traditional signal propaga- tion model COST-231 Hata. Then, the distance ratio weighted algorithm was proposed to eliminate the RSS(Received Signal Strength) fluctuation error, which transforms the positioning problem to the question of solving one variable. Af- terwards, the simulated annealing algorithm was used to calculate the optimal solution. Finally, the elliptical distance model was used to correct the azimuth for the final terminal positioning result. Algorithm contrast experimental results show that the simulated annealing for weighted localization algorithm based on the LTE directional propagation model has higher positioning accuracy, which accords with the positioning accuracy of the FCC rules completely.
出处 《计算机科学》 CSCD 北大核心 2017年第5期251-256,共6页 Computer Science
基金 浙江省自然科学基金重点项目:空间大数据信息智能提取关键技术研究(LZ14F020001) 国家自然科学专项基金项目:面向粒度化环境的遥感可信计算研究(61340058)资助
关键词 LTE 终端定位 RSS 方向型传播模型 模拟退火加权 LTE, Terminal positioning, RSS, Directional propagation model, Simulated annealing for weighted
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  • 1方震,赵湛,郭鹏,张玉国.基于RSSI测距分析[J].传感技术学报,2007,20(11):2526-2530. 被引量:265
  • 2陈华根,吴健生,王家林,陈冰.模拟退火算法机理研究[J].同济大学学报(自然科学版),2004,32(6):802-805. 被引量:137
  • 3安恂,蒋挺,周正.一种用于无线传感器网络的质心定位算法[J].计算机工程与应用,2007,43(20):136-138. 被引量:35
  • 4Caffery J. Wireless Location in CDMA Cellular Radio System[M]. [S. l .]: Kluwer Academic Publishers, 2001.
  • 5[1]Vinko Erceg, Steven J Fortune, Jonathan Ling, A J Rustako Jr., and Reinaldo A. Valenzuela. Comparisons of a Computer-Based Propagation Prediction Too lwith Experimental Data Collected in Urban Microcellular Environment[J]. IEEE Journal On Selected Areas In Communication,1997,15(4).
  • 6[2]Harward H.Xia,Henry L Bertony, Leandro R.Macial, Andrew Lindsay-Stewart, and Robert Rowe. Radio Propagation characteristic for Line-of-Sight Microcellular and Personal Communications[J]. IEEE Transactions on Antennas And Propagation, 1993,41(10).
  • 7[3]Han-Lee Song, Automatic Vehicle Location in Cellular Communications Systems[J]. IEEE Transactions on Vehicular Technology,1994,43(4).
  • 8[4]Masato ASO, Manabu KAWABATA and Takeshi HATTORI.INS-PX Method for Mobile Station Location Estimation in CDMA Cellular System[R]. World Congress on Intelligent Transport Systems,2001.9.
  • 9[5]Y Okumura, et al.Field strength and its variability in vhf and uhf land mobile service[J]. Rev. Elec. Comm. Lab.,1968,825-873.
  • 10[6]Martin Hellebrandt, Rudolf Mathar, and Markus Scheibenbogen. Estimating Position and Velocity of Mobiles in a Cellular Radio Network[J]. IEEE Transactions on Vehicular Technology,1997.(2).

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