基于最小约束系统的分布式协作定位研究
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摘要
5G移动通信系统中,设备到设备的通信方式产生了节点间的信号测量,可用于提升无线定位的覆盖范围和定位精度。提出了一种基于最小约束系统的分布式协作定位方法,该方法首先利用已有算法估计节点参考位置,并据此构建最小约束确定网络的位置及朝向,然后在该约束下极大化由节点间测量引出的似然函数,获得位置估计。理论研究表明,该方法将由节点间测量确定的相对位置拟合到参考位置处,在参考位置等于真实位置时达到最优效果。仿真结果表明,该方法可有效提高定位精度,并具有分布式和可扩展等优点。
In 5 G mobile communication system, Device-to-Device(D2 D) communication introduces plenty of internodes' signal measurements, which can be used to improve application scope and the accuracy of wireless localization. A novel distributed cooperative localization method based on a minimally constrained system(MCS) is proposed. This method adopts the node rough locations derived by existing single node localization methods to construct minimally equality constraints to fix the network location and orientation, and derive the location estimation through by maximizing the likelihood function of the internodes' measurement. Theoretical investigation indicates that this method is equivalent to fix the relative locations onto some reference locations, which achieves the optimal when the reference location is compose of the ground truth. The simulations conforms the performance of the proposed method and indicates its extendibility and distributed nature.
In 5 G mobile communication system, Device-to-Device(D2 D) communication introduces plenty of internodes' signal measurements, which can be used to improve application scope and the accuracy of wireless localization. A novel distributed cooperative localization method based on a minimally constrained system(MCS) is proposed. This method adopts the node rough locations derived by existing single node localization methods to construct minimally equality constraints to fix the network location and orientation, and derive the location estimation through by maximizing the likelihood function of the internodes' measurement. Theoretical investigation indicates that this method is equivalent to fix the relative locations onto some reference locations, which achieves the optimal when the reference location is compose of the ground truth. The simulations conforms the performance of the proposed method and indicates its extendibility and distributed nature.
引文
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[14] Zhang P, Yan N, Zhang J, et al. Optimal minimally constrained system in cooperative localization[C]// 2015 International Conference on Wireless Communications & Signal Processing (WCSP). IEEE, 2015: 1-5.
[15] Niculescu D, Nath B. Ad hoc positioning system(APS)[C]// Global Telecommunications Conference, GLOBE-COM'01. IEEE, 2001: 2926-2931.
[2] Hata M, Nagatsu T. Mobile location using signal strength measurements in a cellular system[J]. IEEE Transactions on Vehicular Technology, 1980, 29(2): 245-252.
[3] Ott G D. Vehicle location in cellular mobile radio systems[J]. IEEE Transactions on Vehicular Technolo-gy, 1977, 26(1): 43-46.
[4] Rappaport T S, Reed J H, Woerner B D. Position location using wireless communications on highways of the future[J]. IEEE Communications Magazine, 1996, 34(10): 33-41.
[5] Reed J H, Krizman K J, Woerner B D, et al. An overview of the challenges and progress in meeting the E-911 requirement for location service[J]. IEEE Communications Magazine, 1998, 36(4): 30-37.
[6] Del Peral-Rosado J A, Raulefs R, López-Salcedo J A, et al. Survey of cellular mobile radio localization me-thods: from 1G to 5G[J]. IEEE Communications Surveys & Tutorials, 2017, 20(2): 1124-1148.
[7] Liu Y, Shi X, He S, et al. Prospective positioning architecture and technologies in 5G networks[J]. IEEE Network, 2017, 31(6): 115-121.
[8] Patwari N, Ash J N, Kyperountas S, et al. Locating the nodes: cooperative localization in wireless sensor networks[J]. IEEE Signal Processing Magazine, 2005, 22(4): 54-69.
[9] 邓中亮, 尹露, 唐诗浩, 等. 室内定位关键技术综述[J].导航定位与授时, 2018,5(3): 14-23. Deng Zhongliang, Yin Lu, Tang Shihao, et al. A survey of key technology for indoor positioning[J]. Navigation Positioning and Timing, 2018, 5(3): 14-23(in Chinese).
[10] 赵龙, 陶冶. 基于WiFi指纹库的室内定位研究进展和展望[J].导航定位与授时, 2018,5(3): 6-13. Zhao Long, Tao Ye. Research progress and prospect of indoor positioning based on WiFi fingerprint database[J]. Navigation Positioning and Timing, 2018,5(3): 6-13(in Chinese).
[11] Ash J N, Moses R L. On the relative and absolute positioning errors in self-localization systems[J]. IEEE Transactions on Signal Processing, 2008, 56(11): 5668-5679.
[12] Zhang P, Lu J, Wang Y, et al. Cooperative localization in 5G networks: A survey[J]. ICT Express, 2017, 3(1): 27-32.
[13] Zhang P, Wang Q. On using the relative configura-tion to explore cooperative localization[J]. IEEE Transactions on Signal Processing, 2014, 62(4): 968-980.
[14] Zhang P, Yan N, Zhang J, et al. Optimal minimally constrained system in cooperative localization[C]// 2015 International Conference on Wireless Communications & Signal Processing (WCSP). IEEE, 2015: 1-5.
[15] Niculescu D, Nath B. Ad hoc positioning system(APS)[C]// Global Telecommunications Conference, GLOBE-COM'01. IEEE, 2001: 2926-2931.