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1. 中北大学 仪器科学与动态测试教育部重点实验室,山西 太原,030051
2. 中国兵器工业集团公司 北方自动控制技术研究所,山西 太原,030006
收稿日期:2011-10-31,
修回日期:2012-01-30,
网络出版日期:2012-06-10,
纸质出版日期:2012-06-10
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王代华, 宋林丽, 孔祥善, 张志杰. 草原环境地表无线信道的路径损耗建模[J]. 光学精密工程, 2012,20(6): 1406-1413
WANG Dai-hua, SONG Lin-li, KONG Xiang-shan, ZHANG Zhi-jie. Path loss modeling for near-ground wireless channel in grassland environment[J]. Editorial Office of Optics and Precision Engineering, 2012,20(6): 1406-1413
王代华, 宋林丽, 孔祥善, 张志杰. 草原环境地表无线信道的路径损耗建模[J]. 光学精密工程, 2012,20(6): 1406-1413 DOI: 10.3788/OPE.20122006.1406.
WANG Dai-hua, SONG Lin-li, KONG Xiang-shan, ZHANG Zhi-jie. Path loss modeling for near-ground wireless channel in grassland environment[J]. Editorial Office of Optics and Precision Engineering, 2012,20(6): 1406-1413 DOI: 10.3788/OPE.20122006.1406.
针对无线传感器网络研究对地表无线信道路径损耗预测的需求
以草原地表环境为研究对象
测量了2.4 GHz无线信号的传播特性
并用最小二乘法对测量数据进行了线性回归。结果表明
基于对数距离的路径损耗模型仍适用于地表无线信道的路径损耗建模
且双斜率模型的拟合精度优于单斜率模型。突变点的位置取决于天线高度
突变点前的路径损耗指数小于2
突变点后的路径损耗指数在3~4之间。通过对比远场的路径损耗预测值与实测值
进一步验证了双斜率模型的预测精度优于单斜率模型。最后
对传统模型与所得双斜率模型进行了性能对比
证实了传统模型无法用于地表环境
进而说明所得模型对无线传感器网络研究更具实际意义。
As path loss prediction for a near-ground wireless channel is an essential issue in most research activities of wireless sensor networks
this paper measures and analyzes the transmission characteristics of a 2.4 GHz wireless signal in a grassland environment and performs a linear regression for collected data based on the least square method. The results indicate that the log-distance based model is still suitable for the path loss modeling in the near-ground wireless channel
and the fitting accuracy of the two-slope model is better than that of the one-slope model. Furthermore
the breakpoint position is determined by the antenna height
and the path loss indexes are less than 2 or between 3 and 4 before or after the breakpoint. With comparison of the predicted path loss and the measured path loss in a far-field
it proves that the prediction accuracy of the two-slope model is superior to that of the one-slope model. Finally
the performance of the generic models and the proposed two-slope model is compared
which suggests that the generic models are not suitable for research activities in the near-ground environment and the proposed model has a more practical value for research on wireless sensor networks.
文韬,洪添胜,李震,等. 橘园无线传感器网络不同节点部署方式下的射频信号传播试验[J]. 农业工程学报, 2010,26(6):211-215. WEN T, HONG T SH, LI ZH, et al.. Test of wireless sensor network radio frequency signal propagation based on different node deployments in citrus orchards [J]. Transactions of the CSAE, 2010,26(6):211-215 . (in Chinese)
沈杰,姚道远,黄河清,等. 野外地表无线传感网信道传播模型的测定与分析[J]. 光学 精密工程, 2008,16(1):141-149. SHEN J, YAO D Y, HUANG H Q, et al.. Measurement and analysis of radio channel model for near-ground wireless sensor network [J]. Opt. Precision Eng., 2008,16(1):141-149 . (in Chinese)
鲁琴,罗武胜,胡冰. 无线传感网基于邻居簇的JPEG2000多节点协同实现[J]. 光学 精密工程, 2010,18(1):240-247. LU Q, LUO W SH, HU B. Multi-node cooperative JPEG2000 implementation based on neighbor clusters in wireless sensor networks [J]. Opt. Precision Eng., 2010,18(1):240-247.(in Chinese)
付耀先,姜华,刘海涛. 基于无线传感网扩频通信的跨层CSMA多用户接入[J]. 光学 精密工程, 2008,16(2):325-332. FU Y X, JIANG H, LIU H T. Cross-layer CSMA multi-user access based on spreading communication system in wireless sensor network [J]. Opt. Precision Eng., 2008,16(2):325-332.(in Chinese)
刘桂雄,张晓平,周松斌. 基于最小二乘支持向量回归机的无线传感器网络目标定位法[J]. 光学 精密工程, 2009,17(7):1766-1773. LIU G X, ZHANG X P, ZHOU S B. Target localization in wireless sensor networks based on LSSVR [J]. Opt. Precision Eng., 2009,17(7):1766-1773.(in Chinese)
FORAN R A, WELCH T B, WALKER M J. Very near ground radio frequency propagation measurements and analysis for military applications . Proceedings of IEEE Military Communications Conference, Atlantic City, USA: MILCOM, 1999:336-340.
JOSHI G G, DIETRICH C B, ANDERSON C R,et al.. Near-ground channel measurements over line-of-sight and forested paths [J]. IEE Proceedings- Microwaves, Antennas and Propagation, 2005,152(6):589-596.
MARTINEZ S A, MOLINA G P J M, EGEA L E,et al.. An accurate radio channel model for wireless sensor networks simulation [J]. Journal of Communications and Networks, 2005,7(4):1-6.
PHAEBUA K, PHONGCHAROENPANICH C, TO-RRUNGRUENG D,et al.. Short-distance and near-ground signal measurements in a car park of wireless sensor network system at 433 MHz . Proceedings of 5th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology, Krabi, Thailand: ECTI-CON, 2008:241-244.
MENG Y S, LEE Y H, NG B C. Empirical near ground path loss modeling in a forest at VHF and UHF bands [J]. IEEE Transactions on Antennas and Propagation, 2009,57(5):1461-1468.
刘卉,汪懋华,孟志军,等. 农田环境中短程无线电传播性能试验[J]. 江苏大学学报, 2010,31(1):1-5. LIU H, WANG M H, MENG ZH J,et al.. Performance assessment of short-range radio propagation in crop fields [J]. Journal of Jiangsu University, 2010,31(1):1-5.(in Chinese)
SOHRABI K, MANRIQUEZ B, POTTIE G J. Near ground wideband channel measurement in 800-1000 MHz . Proceedings of IEEE 49th Vehicular Technology Conference, Houston, USA, 1999:571-574.
PHAIBOON S, PHOKHARATKUL P, SOMKUARNPANIT S. New upper and lower bounds line of sight path loss model for mobile propagation in buildings [J]. International Journal of Electronics and Communications, 2008,62(3):207-215.
GOLDSMITH A. Wireless Communications [M]. Cambridge: Cambridge University Press, 2005.
LAVERGNAT J, SYLVAIN M. Radio-wave Propagation: Principles and Techniques [M]. New York: Wiley, 2000.
PARSONS J D. The Mobile Radio Propagation Channel [M]. New York: Wiley, 2000.
CCIR. Influences of terrain irregularities and vegetation on troposphere propagation . Geneva: CCIR, 1986.
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