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平台侧位置指纹定位系统中接收端问题的优化 被引量:2

Optimization of Receiver-concerned Problems in Location Fingerprint Positioning System on Platform Side
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摘要 当前室内位置指纹定位系统主要用于对移动端的定位。借鉴其定位机理,研究了对无线电发射端的定位,属于平台侧位置指纹定位系统。从部署接收端的位置以减小定位误差的角度出发,提出了增大参考点之间欧式距离确定接收端位置的方案。同时,提出利用覆盖率的概念确定定位区间的接收端个数以满足区间定位的需求。建立了接收端位置及个数优化问题的数学模型,并用遗传算法和全覆盖原则对优化问题进行求解,给出了优化问题的实现流程。针对不同空间,对优化问题进行了仿真,比较了经验布置接收端和优化布置接收端的定位结果误差及接收端是否满足全覆盖的定位结果误差,验证了所提方法的合理性,对定位前部署接收端的个数和位置有一定的指导意义。 Current indoor location fingerprint positioning system is mainly used to the mobile terminal posi-tioning. Based on above system's mechanism,this paper studies the positioning of radio transmitter,which belongs to location fingerprint positioning system on platform side. In order to reduce the positioning error through arranging the receivers' positions,a scheme of determining the receivers' positions is proposed with increasing the Euclidean distance between neighboring reference points. At the same time,the number of the receivers is set by the coverage in area of positioning to meet the demand of location. Then the mathe-matical model about the position and number optimization problem of the receiver is established. Genetic algorithm and full coverage principle are used to solve the optimization problem,and the realization process of the optimization problem is given. Simulation researches are carried out for different space to compare the positioning errors between the experience placement of the receiver and optimal placement of the re-ceiver as well as whether the receiver is satisfied with the full coverage. The simulation results show that the proposed method is reasonable. And this method provides some guidance for deploying the number and location of receivers before positioning.
出处 《电讯技术》 北大核心 2017年第8期950-956,共7页 Telecommunication Engineering
关键词 室内定位 位置指纹 发射端定位 欧式距离 接收端位置 接收端个数 indoor positioning fingerprint position transmitter location Euclidean distance receiver posi-tion number of receivers
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  • 1Theodore S.Rappaport, Wireless communication principles and practice [M].pp:123-133, Prentice-Hall, Inc 1996.
  • 2Y.T.Chan, K.C.Ho, A Simple and Efficient Estimator for Hyperbolic Location [J]. IEEE Trans On signal processing, Vol.42, No.8, pp: 1905-1915, Aug 1994.
  • 3Song Li, Gang Zhao, Lin Liao, User Location Service over an 802.11 Ad-Hoc Network [EB/OL]. www.cs.washington, edu/homes/liaolin/Courses/networks02.pdf.
  • 4P. Bahl, V. N. Padmanabhan, RADAR: An inbuilding RF-based user location and tracking system [J].Proceedings of IEEE INFOCOM, Vol.2, No.3, pp:775-784, March 2000.
  • 5S. Y. Seidel, T. S. Rapport, 914MHz path loss prediction Model for Indoor Wireless Communication in Multi-floored buildings [J]. 1EEE Trans. On Antennas & Propagation, Vol 40, No.2, pp: 207-217, Feb 1992.
  • 6ZHOU M,XU Y B,MA L. Adaptive autocorrelation ap-proach for fingerprint-based distance dependent positio-ning algorithms in WLAN indoor areas [J]. Journal ofNetwork,2011,6(10):1475-1482.
  • 7RATANA P,PANARAT C. A comparative study on in-door localization based on RSSI measurement in wirelesssensor network[C] / / Proceedings of the 8th InternationalJoint Conference on Computer Science and Software Engi-neering. Nakhon Pathom,Thailand:IEEE,2011:1-6.
  • 8XIE L. A new indoor localization method based on inver-sion propagation model[C] / / Proceedings of the 6th Inter-national Conference on Wireless Communications Networ-king and Mobile Computing. Chengdu:IEEE,2010:1-4.
  • 9CARLOS F,JOSE L,INMACULADA M. Time - spacesampling and mobile device calibration for WIFI indoorlocation systems[J]. IEEE Transactions on Mobile Com-puting,2011,10(7):913-926.
  • 10SUROSO D J, CHERNTANOMWONG P, SOORAKSAP,et al. Fingerprint-based technique for indoor localiza-tion in wireless sensor networks using fuzzy C-meansclustering algorithm[J]. International Symposium on In-telligent Signal Processing and Communication system,2011,2(2):1288-1294.

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