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基于测距的地面网络化弹药节点自定位算法

Keywords: 无线传感器网络,自定位,极大似然估计,LMS自适应滤波器

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Abstract:

分析了极大似然估计算法中测距误差对定位误差的影响,提出了基于LMS(最小均方差)的自适应滤波原理的测距误差修正的自定位算法.利用极大似然估计法初步估计节点位置,并得到定位误差信息,建立测距误差矩阵并更新网络中的滤波参数,完成对网络中测距误差的抑制,从而优化节点定信息.实验仿真表明,优化处理使定位精度得到提高.结果表明算法适用于锚节点密度较小的、低信噪比的网络化弹药系统.

References

[1]  Stojmenovic I. Handbook of sensor networks: algorithms and architectures[M].[S.l]: John Wiley and Sons, 2005.
[2]  Raghavendra C, Sivalingam K, Znati T. Wireless sensor networks[M].[S.l]: Kluwer Academic, July 2004.
[3]  汪炀.无线传感器网络定位技术研究[D].合肥:中国科学技术大学, 2007. Wang Shang. Research on localization technology of wireless sensor networks[D]. Hefei: University of Science and Technology of China, 2007. (in Chinese)
[4]  于海斌, 曾鹏, 梁韡.智能无线传感器网络系统[M].北京:科学出版社, 2006. Yu Haibin, Zeng Peng, Liang Wei. Intelligent wireless sensor network system[M]. Beijing: Science Press, 2006. (in Chinese)
[5]  Akyildiz I, Vuran M. Wireless sensor networks[M].[S.l]: John Wiley & Sons Inc, 2010.
[6]  Pal A. Localization algorithms in wireless sensor networks: Current approaches and future challenges[J]. Network Protocols and Algorithms, 2012, 2(1):45-74.
[7]  Sun M, Yang L, Ho K C. Accurate sequential self-localization of sensor nodes in closed-form[J]. Signal Processing, 2012, 92:2940-2951.
[8]  Cheng Tianhen, Li Ping, Zhu Sencun. Lightweight jammer localization algorithm in wireless sensor networks[J]. Journal of Beijing Institute of Technology, 2013, 22(2):143-148.
[9]  Whitehouse K, Culler D. Calibration as parameter estimation in sensor networks[C]//Proceedings of the 1st ACM International Workshop on Wireless Sensor Networks and Application. Atlanta, USA: ACM Press, 2002:59-67.

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