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基于信号衰减模型补偿的RSS指纹定位算法 被引量:3

Based on Signal Attenuation Model Compensated for Fingerprint Localization Algorithm with RSS
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摘要 基于RSS指纹的定位以其具有部署简单、硬件成本低、定位参数单一等优点成为无线定位技术中的研究热点之一.由于该技术在定位时需要目标RSS指纹与定位区域中所有RSS指纹进行比较,所以该定位算法的复杂度较高,导致了定位系统的实时性较差.为了解决上述问题,通过利用无线信号衰减模型对目标所在的大致区域进行判断,然后在判断的区域中再利用基于RSS指纹算法对目标进行精确定位.仿真实验结果表明改进的方法能够减少算法的复杂度,提高了定位系统的实时性. With the advantage of easy-implementation,low-cost and simplified positioning-parameter,localization algorithm,which is based on wireless receive signal strength,has become a hot research area.However,on the technology localization stage,object's RSS fingerprint need compare with all of RSS fingerprint in the positioning area,therefore,the localization algorithm has larger complexity which causes the bad real time of positioning system.In order to solve the above problem,the object is in the area which is analysed with the wireless signal attenuation model,and object is located precisely by the based-RSS fingerprint algorithm in the forgoing area.Experimental results show that the proposed algorithm can decrease algorithm complexity,and improve the real-time of located system.
作者 华钢 王永星
出处 《徐州工程学院学报(自然科学版)》 CAS 2015年第4期28-32,共5页 Journal of Xuzhou Institute of Technology(Natural Sciences Edition)
基金 国家自然科学基金项目(51204186 61379100 51574232)
关键词 信号强度 无线定位 指纹定位 信号衰减模型 signal strength wireless localization fingerprint positioning signal attenuation model
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  • 1Kuo W H,Chen Y S,Jen G T, et al. An intelligent positioning approach: RSSI-based indoor and outdoor localization scheme in Zig bee networksFC]. International Conference on Machine Learning and Cybernetics (ICMLC), 2010, Qingdao. IEEE, 2010:2754-2759.
  • 2Bandiera F,Coluccia A,Ricci G. A cognitive algorithm for received signal strength based localization[J']. IEEE Transactions on Signal Processing,2015,63(7) : 1726-1736.
  • 3Zhu H, Liu F, Zhou H. Indoor location service based on fingerprinting and distance relative attenuation model[-C~, 2014 Sixth International Conference on Measuring Technology and Mechatronics Automation (ICMTMA). IEEE, 2014:341-344.
  • 4Zhao J, Li H, Sun X. Research on the signal random attenuation coefficient based on RSSI in WSN localization technologyEC~. Wire- less Communications, Networking and Mobile Computing, 2009.
  • 5Wicon~09.5th International Conference on IEEE. Bahl P,Padmanabhan V N. RADAR:an in-building RF-based user location and tracking system[-J~. Institute of Electrical Electronics Engineers Inc,2000(2) ~775-784.
  • 6Youssef M, Agrawala A. Handling samples correlation in the Horus system[-C~. INFOCOM 2004. Twenty-third Annual- Joint Conference of the IEEE Computer and Communications Societies,2004:1023-1031.
  • 7Battiti B, Nhat T L, Villani A. Location-aware computing: a neural network model for determining location in wireless LANs [-R~. Information Engineering and computer Science, Technical Report: DIT-02-083,2002.
  • 8史伟光.基于射频识别技术的室内定位算法研究[D].天津:天津大学,2011.

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  • 1冉启全,周南翔.油气藏非均质性的地质统计学描述[J].大庆石油地质与开发,1993,12(2):42-46. 被引量:8
  • 2PRASITHSANGAREE P,KRISHNAMURTHY P,CHRYSANTHIS P K.On indoor position location with wireless LANs[C]//The 13th IEEE International Symposium on Personal,Indoor and Mobile Radio Communications,Lisboa,2002:720-724.
  • 3SAHA S,CHAUDHURI K,SANGHI D,et al.Location determination of a mobile device using IEEE802.11b access point signals[C]//Wireless Communications and Networking,New Orleans,2003:1987-1992.
  • 4LAITINEN H,LAHTEENMAKI J,NORDSTORM T.Database correlation method for GSM location[C]//Vehicular Technology Conference,Rhodes,2001:2504-2508.
  • 5LI B H,WANG Y F,LEE H K,et al.Method for yielding a database of location fingerprints in WLAN[J].IEEE Proceedings-Communications,2005,152(5):580-586.
  • 6BAHL P,PADMANABHAN V N.RADAR:an in-building RF-based user location and tracking system[C]//The 19th Annual Joint Conference of the IEEE Computer and Communications Societies,Tel Aviv,2000:775-784.
  • 7CORMEN T T,LEISERSON C E,RIVEST R L,et al.Introduction to algorithms[M].3rd ed.Cambridge:MIT Press,2009.
  • 8张克军,窦建君.基于Contourlet变换和不变矩的图像检索方法[J].徐州工程学院学报(自然科学版),2012,27(1):48-51. 被引量:5
  • 9牛文杰,朱大培,陈其明.贝叶斯残余克里金插值方法的研究[J].工程图学学报,2001,22(2):68-76. 被引量:10
  • 10董建平,杨诚,陆小丽.基于WiFi的井下指纹模定位算法[J].工矿自动化,2014,40(10):87-89. 被引量:7

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