|Table of Contents|

Distribution characteristic of AIS signal field intensity along mountainous waterway(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2014年06期
Page:
117-126
Research Field:
交通信息工程及控制
Publishing date:

Info

Title:
Distribution characteristic of AIS signal field intensity along mountainous waterway
Author(s):
CHU Xiu-min1 LIU Tong1 MA Feng1 LIU Xing-long1 ZHONG Ming2
1. Engineering Research Center for Transportation Safety of Ministry of Education, Wuhan University ofTechnology, Wuhan 430070, Hubei, China; 2. Department of Civil Engineering, University of New Brunswick, Fredericton E3B 5A3, New Brunswick, Canada
Keywords:
traffic information engineering mountainous waterway AIS linear regression Okumura-Hata model field intensity
PACS:
U675.7
DOI:
-
Abstract:
Due to the shadowing effect of AIS mountains signals, there were many blind areas along mountainous waterways limiting the application of AIS. Okumura-Hata model was used to study the reliability of AIS communication system in those areas. 29 test points, which were primarily served by three base stations at Bahekou, Shipai, and Xiba located along the Three Gorges Dam segment, were set. Among the 29 test points, 13 test points were in mountainous areas and 16 test points were in open areas. The actual field intensities of the 29 test points were measured and compared with theoretical field intensities. A linear regression model was used to optimize the corrected parameter of Okumura-Hata model. The correcting field intensities at the 13 test points in mountainous areas and at 9 out of 16 test points in open areas, having a distance greater than 2.9 km from the base stations, were calculated. In order to verify the correctness of modified model, verification test was carried out for 6 test points along Chongqing—Yongchuan segment. Analysis result indicates that a distance of 3 km is a critical threshold for AIS signal transmission. When the propagation distance is less than 3 km, the AIS signal is good and the AIS field intensity curve is smooth. However, when the propagation distance is more than 3 km, the AIS signal quality reduces sharply and the curve is steep. The distribution trend of theoretical field intensity calculated by Okumura-Hata model is consistent with that of actual field intensity, but there are still gaps between the theoretical values and the actual values. In verification test, the average values of actual field intensity, theoretical field intensity, and correcting field intensity at 6 test points are-106.636, -100.982, -107.710 dBm, respectively. The average error and precision rate of calculated result of Okumura-Hata model are 5.654 dBm and 94.615% respectively, andthe values of correcting model are 1.071 dBm and 98.329% respectively. 4 tabs, 14 figs, 20 refs.

References:

[1] 严忠贞,严新平,马 枫,等.绿色长江航运智能化信息服务系统及其关键技术研究[J].交通信息与安全,2010,28(6):76-81.YAN Zhong-zhen, YAN Xin-ping, MA Feng, et al. Green Yangtze River intelligent shipping information system and its key technologies[J]. Journal of Transport Information and Safety, 2010, 28(6): 76-81.(in Chinese)
[2] 马 枫,严新平,初秀民.船舶自动识别系统性能半实物仿真方法研究[J].系统仿真学报,2013,25(6):1315-1320.MA Feng, YAN Xin-ping, CHU Xiu-min. Research on automatic identify system performance with hardware-in-the-loop simulation[J]. Journal of System Simulation, 2013, 25(6): 1315-1320.(in Chinese)
[3] 陶立敏,许昌如.自动识别系统(AIS)基站的组网研究[J].航海技术,2004(4):31-33.TAO Li-min, XU Chang-ru. Study of the AIS netting[J]. Marine Technology, 2004(4): 31-33.(in Chinese)
[4] VESECKY J F, LAWS K E, PADUAN J D. Using HF surface wave radar and the ship automatic identification system(AIS)to monitor coastal vessels[C]∥IEEE. 2009 IEEE International Geoscience and Remote Sensing Symposium. Cape Town: IEEE, 2009: 761-764.
[5] LARSEN J A, MORTENSEN H P, NIELSEN J D. An SDR based AIS receiver for satellites[C]∥IEEE. 2011 5th International Conference on Recent Advances in Space Technologies(RAST). Istanbul: IEEE, 2011: 526-531.
[6] 马 枫,初秀民,严新平.AIS基站短消息特性[J].交通运输工程学报,2012,12(6):111-118.MA Feng, CHU Xiu-min, YAN Xin-ping. Short message characteristics of AIS base stations[J]. Journal of Traffic and Transportation Engineering, 2012, 12(6): 111-118.(in Chinese)
[7] 马 枫,初秀民,严新平.内河AIS船台自适应发射功率调节技术[J].中国航海,2013,36(1):28-34.MA Feng, CHU Xiu-min, YAN Xin-ping. Self-adaptive transmission power adjustment technology for inland river AIS terminals[J]. Navigation of China, 2013, 36(1): 28-34.(in Chinese)
[8] 马 枫,严新平,初秀民,等.船舶自动识别系统信号失效与场强的相关性[J].大连海事大学学报,2011,37(3):111-114.MA Feng, YAN Xin-ping, CHU Xiu-min, et al. Correlation between signal failure and field strength in automatic identify system[J]. Journal of Dalian Maritime University, 2011, 37(3): 111-114.(in Chinese)
[9] 宋成果.基于虚拟现实的内河航道航标布设的仿真研究[D].武汉:武汉理工大学,2012.SONG Cheng-guo. Research of the inland waterway aids to navigation layout simulation based on virtual reality[D]. Wuhan: Wuhan University of Technology, 2012.(in Chinese)
[10] 王祖良,樊文生,郑林华.海面电波传播损耗模型研究与仿真[J].电波科学学报,2008,23(6):1095-1099.WANG Zu-liang, FAN Wen-sheng, ZHENG Lin-hua. Study and simulation on sea-surface propagation prediction model[J]. Chinese Journal of Radio Science, 2008, 23(6): 1095-1099.(in Chinese)
[11] 吴 青,崔建平,马 枫,等.基于奥村模型的内河AIS基站监测范围研究[J].武汉理工大学学报:信息与管理工程版,2011,33(1):36-39.WU Qing, CUI Jian-ping, MA Feng, et al. Research of monitoring scope of inland AIS base station based on Okumura-Hata model[J]. Journal of Wuhan University of Technology: Information and Management Engineering, 2011, 33(1): 36-39.(in Chinese)
[12] 胡绘斌.预测复杂环境下电波传播特性的算法研究[D].长沙:国防科学技术大学,2006.HU Hui-bin. Prediction study on the algorithm of radio waves propagation characteristics under complicated environment[D]. Changsha: National University of Defense Technology, 2006.(in Chinese)
[13] HASEGAEA K, NIWA K, MORI S, et al. Simulation-based master plan design and its safety assessment for congested waterways managements[C]∥Shanghai Jiaotong University. 2nd International Maritime Conference on Design for Safety. Shanghai: Shanghai Jiaotong University, 2004: 265-269.
[14] HATA K, HASEGAWA K, NIWA K, et al. AIS simulator and ITS applications[C]∥IEEE. 48th International Symposium ELMAR-2006. Zadar: IEEE, 2006: 223-226.
[15] 闫 岩,王 蔷,杜正伟.超宽带信号室内场强分布[J].电子技术应用,2005,31(9):54-57.YAN Yan, WANG Qiang, DU Zheng-wei. UMB signal indoor electric field distribution[J]. Application of Electronic Technique, 2005, 31(9): 54-57.(in Chinese)
[16] 毋河海.S形分布的数据拟合数学模型研究[J].武汉大学学报:信息科学版,2009,34(4):474-478.WU He-hai. Study of mathematic model for fitting S shape distributed data[J]. Geomatics and Information Science of Wuhan University, 2009, 34(4): 474-478.(in Chinese)
[17] 毋河海.数字曲线拐点的自动确定[J].武汉大学学报:信息科学版,2003,28(3):330-335.WU He-hai. Automatic determination of inflection point and its applications[J]. Geomatics and Information Science of Wuhan University, 2003, 28(3): 330-335.(in Chinese)
[18] 孙 星,吴 勇,初秀民.船-标-岸协同下智能长江航运及其发展展望[J].交通信息与安全,2010,28(6):48-52,56.SUN Xing, WU Yong, CHU Xiu-min. Intelligent Yangtze River shipping and ITS prospects based on coordination of ship-mark-bank[J]. Journal of Transport Information and Safety, 2010, 28(6): 48-52, 56.(in Chinese)
[19] 徐建闽,林 思,焦光庭,等.大交通模式下的ITS体系框架研究[J].交通信息与安全,2009,27(2):1-4,50.XU Jian-min, LIN Si, JIAO Guang-ting, et al. ITS architecture of general communications[J]. Journal of Transport Information and Safety, 2009, 27(2): 1-4, 50.(in Chinese)
[20] 季 忠,黎滨洪,王豪行,等.一种高效的室内射线跟踪传播预测模型[J].上海交通大学学报,2000,34(2):276-280.JI Zhong, LI Bin-hong, WANG Hao-xing, et al. An effective propagation estimation model for indoor radio communications using ray tracing technique[J]. Journal of Shanghai Jiaotong University, 2000, 34(2): 276-280.(in Chinese)

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Last Update: 2014-12-20