全部 标题 作者
关键词 摘要

OALib Journal期刊
ISSN: 2333-9721
费用:99美元

查看量下载量

相关文章

更多...

基于粒子群优化的无线传感器网络非视距节点定位算法

DOI: 10.13195/j.kzyjc.2014.0616, PP. 1106-1110

Keywords: 无线传感器网络,定位,非视距,最小二乘法,粒子群优化

Full-Text   Cite this paper   Add to My Lib

Abstract:

针对室内环境中传感器节点间的非视距传播会降低定位精度的情况,研究基于无线传感器网络的非视距节点定位方法.根据不同环境下信标节点的测量模型和视距传播概率建立目标函数,采用粒子群优化算法估计出未知节点的位置,将利用最小二乘法计算出的节点位置作为粒子的初始位置.仿真结果表明,通过与最小二乘法、残差加权和RANSAC算法相比较,所提出算法能够较好地削弱非视距误差,且具有更高的定位精度.

References

[1]  (Wang D W, Wang J W, Wang H F, et al. Intelligent optimization methods[M]. Beijing: Higher Education Press, 2007: 217-221.)
[2]  Li W, Jia Y, Du J, et al. Distributed multiple-model estimation for simultaneous localization and tracking with nlos mitigation[J]. IEEE Trans on Vehicular Technology, 2013, 62(6): 2824-2830.
[3]  Venkatesh S, Buehrer R M. Non-line-of-sight identification on ultra-wideband systems based on received signal statistic[J]. IET Microwaves Antennas & Propagation, 2007, 1(6): 1120-1130.
[4]  Shen G, Zetik R, Hirsch O, et al. Range-based localization for uwb sensor networks in realistic environments[J]. EURASIP J onWireless Communications and Networking, 2010, 2010(1): 1-9.
[5]  Chen P C. A non-line-of-sight error mitigation algorithm in location estimation[C]. Proc of Wireless Communication and Networking Conf. New Orleans: IEEE, 1999: 316-320.
[6]  陈桂忠, 董利达, 兰守珍. 一种在非视距环境中的移动节点定位方法[J]. 浙江大学学报: 理学版, 2009, 3(1): 52-56.
[7]  (Chen G Z, Dong L D, Lan S Z. A novel localization algorithm for wireless mobile sensor nodes in NLOS environment[J]. J of Zhejiang University: Science Edition, 2009, 3(1): 52-56.)
[8]  Nawaz S, Trigoni N. Robust localization in cluttered environments with NLOS propagation[C]. Proc of IEEE 7th Int Conf on Mobile Ad-Hoc and Sensor Systems. San Francisco: IEEE, 2010: 166-175.
[9]  Kong Y, Kwon Y, Park G. Robust localization over obstructed interferences for inbuilding wireless applications[J]. IEEE Trans on Consumer Electronics, 2009, 55(1): 105-111.
[10]  崔玮, 吴成东, 张云洲, 等. 基于高斯混合模型的非视距定位算法[J]. 通信学报, 2014, 35(1): 99-106.
[11]  (Cui W, Wu C D, Zhang Y Z, et al. GMM-based localization algorithm under NLOS conditions[J]. J on Communications, 2014, 35(1): 99-106.)
[12]  华惊宇, 郑志龙, 周凯, 等. NLOS 无线环境中运用最优化原理的定位算法[J]. 浙江工业大学学报, 2014, 42(1): 93-98.
[13]  (Hua J Y, Zheng Z L, Zhou K, et al. Optimization theory based localization algorithm in the NLOS wireless environment[J]. J of Zhejiang University of Technology, 2014, 42(1): 93-98.)
[14]  Chen L, Ali-Loytty S, Piche R, et al. Mobile tracking in mixed line-of-sight/non-line-of-sight conditions: Algorithm and theoretical lower bound[J]. Wireless Personal Communications, 2012, 65(4): 753-771.
[15]  汪定伟, 王俊伟, 王洪峰, 等. 智能优化方法[M]. 北京: 高等教育出版社, 2007: 217-221.
[16]  Leung S Y S, Tang Y,WongWK. A hybrid particle swarm optimization and its application in neural networks[J]. Expert Systems with Applications, 2012, 39(1): 395-405.
[17]  Vaghefi R M, Buehrer R M. Cooperative sensor localization with NLOS mitigation using semidefinite programming[C]. Proc of 9th Workshop on Positioning Navigation and Communication. Dresden: IEEE, 2012: 13-18.
[18]  Vakulya G, Simon G. Adaptive acoustic localization for sensor networks[J]. IEEE Trans on Instrumentation and Measurement, 2011, 60(5): 1820-1829.

Full-Text

Contact Us

service@oalib.com

QQ:3279437679

WhatsApp +8615387084133