一种城市环境中移动传感器网络的RF信号估值算法

计算机科学 ›› 2014, Vol. 41 ›› Issue (1): 183-186.

一种城市环境中移动传感器网络的RF信号估值算法

李振杰,尹立新,张绚,米立红

山东大学信息科学与工程学院济南250199;山东大学信息科学与工程学院济南250199;山东大学信息科学与工程学院济南250199;山东大学信息科学与工程学院济南250199

出版日期:2018-11-14 发布日期:2018-11-14

RF Signal Estimation Algorithm for Mobile Sensor Networks in Urban Environment

LI Zhen-jie,YIN Li-xin,ZHANG Xuan and MI Li-hong

Online:2018-11-14 Published:2018-11-14

摘要/Abstract

摘要： 在城市环境中移动传感器网络节点之间的RF信号受反射、衍射以及多径衰落等多种传播方式的影响很大,导致基于节点RF接收信号的定位、跟踪等移动传感器网络应用很难实用化。针对该问题提出一种对城市复杂环境具有鲁棒性的基于阈值的RF信号估值算法。通过分析可知,该算法复杂度低,能够实现复杂环境下RF信号的突变检测,并充分利用Kalman算法的优势进行最优的RF信号估值。最后仿真实验证明,该算法比传统的Kalman算法和滑动窗口算法具有更优的估计性能。

关键词: 移动传感器网络,卡尔曼滤波,滑动窗口算法,RF信号

Abstract: RF signals between the mobile sensor networks nodes in an urban environment are greatly impacted by multipath fading and reflection diffraction mode of transmission,which makes practical applications such as mobile sensor networks positioning,tracking so difficult．In this paper,a robust estimation algorithm based on the threshold of the RF signal was presented which fits a complex urban environment．The algorithm low complexity possesses,and can achieve mutation detection of the RF signal in the complex environment,and fully utilize the advantages of the Kalman algorithm to optimal RF signal valuation．Finally,the simulation also proves the better performance of the algorithm than traditional Kalman and the sliding window algorithm.

Key words: Mobile sensor networks,Kalman filtering,Sliding window algorithm,RF signal

李振杰,尹立新,张绚,米立红. 一种城市环境中移动传感器网络的RF信号估值算法[J]. 计算机科学, 2014, 41(1): 183-186. https://doi.org/

LI Zhen-jie,YIN Li-xin,ZHANG Xuan and MI Li-hong. RF Signal Estimation Algorithm for Mobile Sensor Networks in Urban Environment[J]. Computer Science, 2014, 41(1): 183-186. https://doi.org/

参考文献

[1] Bahl P,Padmanabhan V N．RADAR:An in-building RF-based user location and tracking system[C]∥Proc．of the IEEE INFOCOM 2000．Tel Aviv:IEEE Computer and Communications Societies,Vol.2,2000:775-784
[2] Chae H,Han K．Combination of RFID and vision for mobile robot localization[C]∥Proceedings of the 2005International Conference on Intelligent Sensors,Sensor Networks and Information Processing．IEEE,2005:75-80
[3] Zanca G,Zorzi F,Zanella A,et al．Experimental Comparison of RSSI-based Localization Algorithms for Indoor Wireless Sensor Networks[C]∥Proceedings of the Workshop on Real-world Wireless Sensor Networks .Glasgow,UK,New York,NY,USA:ACM,2008:1-5
[4] Zhou J Y,Shi J．Performance Evaluation of Object Localization Based on Active Radio Frequency Identification Technology[J]．Computers in Industry,2009,60(9):669-676
[5] 张士庚,曾英佩,陈力军,等．移动传感器网络中定位算法的性能评测[J]．软件学报,2011,22(7):1597-1611
[6] 章磊,黄光明．基于RSSI的无线传感器网络节点定位算法[J]．计算机工程与设计,2010,31(2):291-294
[7] 龙慧,樊晓平,刘少强．无线传感器网络可扩展一致性目标跟踪算法研究[J]．小型微型计算机系统,2012,33(11):2429-2434
[8] 彭春燕,杨志强,张效娟．能耗均衡的无线传感器网络的入侵检测机制[J]．微电子学与计算机,2013,30(1):41-44
[9] 马宁,李开宇,吴寅,等．基于最大流的能量采集型无线传感器网络路由算法[J]．传感器与微系统,2013,32(1):131-134
[10] Elnahrawy E,Li X,Martin R．The limits of localization usingsignal strength:a comparative study[C]∥First Annual IEEE Communications Society Conference Sensor and Ad Hoc Communications and Networks．2004:406-414
[11] 何风行,余志军,刘海涛．基于压缩感知的无线传感器网络多目标定位算法[J]．电子与信息学报,2012,34(3):716-721
[12] Patwari N,et al．Relative location estimation in wireless sensor networks[J]．IEEE Transactions on Signal Processing,2003,51(8):2137-2148
[13] Bergamo P,Mazzini G．Localization in sensor networks with fading and mobility[C]∥The 13th IEEE International Symposium on Personal,Indoor and Mobile Radio Communications． 2002,2:750-754
[14] Barsocchi P,Lenzi S,Chessa S,et al．Virtual Calibration for RSSI-based Indoor Localization with IEEE 802.15.4[C]∥Proceedings of International IEEE International Conference on Communications,ICC 2009．Dresden (Germany),2009:1-5
[15] Kalman R E．A new approach to linear filtering and prediction problems[J]．Transaction of the ASME—Journal of Basic Engineering,1960,82(Series D):35-45
[16] Rappaport T S．Wireless Communications:Principles and Practice(2nd Edition)[M]．New Jersey:Prentice Hall Publications,2001:33-38
[17] 聂云峰,舒坚,龚佳杰,等．基于RSSI的无线传感器网络通信覆盖研究[J]．传感技术学报,2011,24(7):1066-1069
[18] 廖卓凡,王建新,梁俊斌．无线传感器网络中节点的动态部署[J]．计算机科学,2011,38(10):45-50

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