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山区航道AIS信号场强分布特性
引用本文:初秀民, 刘潼, 马枫, 刘兴龙, 钟鸣. 山区航道AIS信号场强分布特性[J]. 交通运输工程学报, 2014, 14(6): 117-126.
作者姓名:初秀民  刘潼  马枫  刘兴龙  钟鸣
作者单位:1.武汉理工大学 水路公路交通安全控制与装备教育部工程研究中心, 湖北 武汉 430070;;2.新不伦瑞克大学 土木工程系, 新不伦瑞克 弗雷德里顿 E3B 5A3
基金项目:国家自然科学基金项目61273234 交通运输部信息化技术研究项目2013-364-548-200 武汉理工大学自主创新研究基金项目2014-zy-074
摘    要:船舶自动识别系统(Automatic Identification System, AIS) 在内河应用中, 由于山区遮挡产生大量的信号盲区, 使其效用受限, 使用Okumura-Hata模型研究了AIS通信系统在这些地区的可靠性。在长江三峡坝区航段上基于坝河口、石牌、西坝3个基站设置了29个测点, 其中山区地带为13个测点, 开阔地带为16个测点。测量了所有测点的实际场强, 并与理论场强进行对比分析。使用线性回归法对Okumura-Hata模型的修正参数进行优化, 计算了山区地带13个测点和开阔地带16个测点中距离大于2.9 km的9个测点的修正场强。为验证修正模型的准确性, 在重庆永川航段设置6个测点进行验证试验。分析结果表明: AIS信号在传播过程中3 km为临界距离, AIS信号传播距离小于3 km时, 曲线较平缓, 信号较好, 传播距离大于3 km时, 曲线较陡峭, 信号质量急剧变差。Okumura-Hata模型计算的理论场强与实际场强分布趋势吻合, 但在具体数值上存在差距。验证试验中6个测点的实际场强平均值为-106.636 dBm, 理论场强平均值为-100.982 dBm, 修正场强平均值为-107.710 dBm, Okumura-Hata模型计算结果的平均误差为5.654 dBm, 平均准确率为94.615%, 修正模型计算结果的平均误差为1.071 dBm, 平均准确率为98.329%。

关 键 词:交通信息工程   山区航道   船舶自动识别系统   线性回归   Okumura-Hata模型   场强
收稿时间:2014-07-03

Distribution characteristic of AIS signal field intensity along mountainous waterway
CHU Xiu-min, LIU Tong, MA Feng, LIU Xing-long, ZHONG Ming. Distribution characteristic of AIS signal field intensity along mountainous waterway[J]. Journal of Traffic and Transportation Engineering, 2014, 14(6): 117-126.
Authors:CHU Xiu-min  LIU Tong  MA Feng  LIU Xing-long  ZHONG Ming
Affiliation: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
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 distancegreater 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, and the values of correcting model are 1.071 dBm and 98.329% respectively.
Keywords:traffic information engineering  mountainous waterway  AIS  linear regression  Okumura-Hata model  field intensity
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