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. doi: 10.19818/j.cnki.1671-1637.2012.06.017
Citation: 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. doi: 10.19818/j.cnki.1671-1637.2012.06.017

Short message characteristics of AIS base stations

doi: 10.19818/j.cnki.1671-1637.2012.06.017
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  • Author Bio:

    MA Feng(1985-), male, doctoral student, +86-27-86581899, martin7wind@163.com

    YAN Xin-ping(1959-), male, professor, PhD, +86-27-86581899, xpyan@whut.edu.cn

  • Received Date: 2012-07-21
  • Publish Date: 2012-12-25
  • The characteristics of short messages from automatic identification system(AIS) base stations to ships in the inland river and port were studied. The principles of waveform distortion and package error were analyzed when AIS field strength was declined. In the hardware-in-the-loop simulation platform, the relationship between message length and package error rate was analyzed, and the prediction model of package error rate was proposed. Combined with Hata-Okumura model, the maximum capacity for short messages sent from AIS base stations to ships was proposed in crowded channel. At last, taking the Shanghai Channel of Huangpu River as an example, using the proposed model, the maximum capacity was calculated and compared with the measured result. Comparison result indicates that the reliability of short message decreases with the increase of short message length and the decrease of fixed field strength. The number of AIS target ships communicating with AIS base stations meanwhile is limited. For the Shanghai Channel of Huangpu River, the calculated number of AIS target ship communicating with an AIS base station is 26 when the total AIS target ships is 625, and the measured value is 24, so the calculated value basically matches with the reality value.

     

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  • [1]
    范少勇. 在AIS环境下的船舶避碰决策系统研究[D]. 上海: 上海海事大学, 2007.

    FAN Shao-yong. Research on the decision system for ship collision avoidance in the AIS environment[D]. Shanghai: Shanghai Maritime University, 2007. (in Chinese).
    [2]
    DZVONKOVSKAYA A, ROHLING H. HF Radar perform-ance analysis based on AIS ship information[C]∥IEEE. Proceedings of the2010IEEE Radar Conference. Washington DC: IEEE, 2010: 1239-1244.
    [3]
    严新平, 马枫, 初秀民, 等. 长江船舶交通流实时采集关键技术研究[J]. 中国航海, 2010, 33(2): 40-45. doi: 10.3969/j.issn.1000-4653.2010.02.010

    YAN Xin-ping, MA Feng, CHU Xiu-min, et al. Key technol-ogy of collecting traffic flow on the Yangtze River in real-time[J]. Navigation of China, 2010, 33(2): 40-45. (in Chinese). doi: 10.3969/j.issn.1000-4653.2010.02.010
    [4]
    王飞舟, 范成樑. 自动识别系统(AIS)性能综合评价[J]. 中国航海, 2001, 24(1): 14-17. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGHH200101003.htm

    WANG Fei-zhou, HENRY F S. Comprehensive assessment of AIS performance[J]. Navigation of China, 2001, 24(1): 14-17. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGHH200101003.htm
    [5]
    曹劲, 马永华, 寻远. 机载AIS接收机冲突概率分析[J]. 电讯技术, 2010, 50(10): 57-62. doi: 10.3969/j.issn.1001-893x.2010.10.011

    CAO Jin, MA Yong-hua, XUN Yuan. Collision probabilityanalysis of airborne AIS receiver[J]. Telecommunication Engineering, 2010, 50(10): 57-62. (in Chinese). doi: 10.3969/j.issn.1001-893x.2010.10.011
    [6]
    陈秀伟, 贾瑛卓. 船载自动识别系统设计[J]. 大连海事大学学报, 2007, 33(增1): 108-110, 119. https://www.cnki.com.cn/Article/CJFDTOTAL-DLHS2007S1035.htm

    CHEN Xiu-wei, JIA Ying-zhuo. Automatic identification system design on universal shipborne[J]. Journal of Dalian Maritime University, 2007, 33(S1): 108-110, 119. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-DLHS2007S1035.htm
    [7]
    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. doi: 10.3969/j.issn.1006-1738.2004.04.018

    TAO Li-min, XU Chang-ru. Study of the AIS netting[J]. Marine Technology, 2004(4): 31-33. (in Chinese). doi: 10.3969/j.issn.1006-1738.2004.04.018
    [8]
    ADLER R M, FULLER J. An integrated framework for assess-ing and mitigating risks to maritime critical infrastructure[C]∥IEEE. Proceedings of the2007IEEE Conference on Technologies for Homeland Security. Woburn: IEEE, 2007: 252-257.
    [9]
    GIOMPAPA S, CROCI R, DI STEFANO R, et al. Naval target classification by fusion of IR and EO sensors[C]∥SPIE. Proceedings of2007SPIE European Symposium on Optics and Photonics in Security and Defence. Florence: SPIE, 2007: 17-21.
    [10]
    李瑛, 胡楚锋, 李南京, 等. 阵列射频仿真系统精度改进方法研究[J]. 系统仿真学报, 2009, 21(22): 7045-7047. https://www.cnki.com.cn/Article/CJFDTOTAL-XTFZ200922012.htm

    LI Ying, HU Chu-feng, LI Nan-jing, et al. Investigation on method of improving precision for RF simulation system[J]. Journal of System Simulation, 2009, 21(22): 7045-7047. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-XTFZ200922012.htm
    [11]
    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. https://www.cnki.com.cn/Article/CJFDTOTAL-DLHS201103030.htm

    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). https://www.cnki.com.cn/Article/CJFDTOTAL-DLHS201103030.htm
    [12]
    AKOS D M, FROM M, KARLSSON M, et al. Receiver measured time in the VDL mode4system[C]∥IEEE. Proceedings of2000IEEE Position Location and Navigation Symposium. San Diego: IEEE, 2000: 309-316.
    [13]
    刘宇宏. 船舶避碰智能决策支持系统的设计与实现[J]. 中国航海, 2004, 27(4): 32-37. https://www.cnki.com.cn/Article/CJFDTOTAL-ZGHH200404008.htm

    LIU Yu-hong. Design and realization of intelligent decision support system for vessel collision avoidance[J]. Navigation of China, 2004, 27(4): 32-37. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-ZGHH200404008.htm
    [14]
    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. https://www.cnki.com.cn/Article/CJFDTOTAL-JTJS200902003.htm

    XU Jian-min, LIN Si, JIAO Guang-ting, et al. ITS architec-ture of general communications[J]. Journal of Transport Information and Safety, 2009, 27(2): 1-4, 50. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JTJS200902003.htm
    [15]
    翟雅峤, 翁剑成, 荣建, 等. 多源数据融合的区间车辆速度预测算法研究[J]. 交通信息与安全, 2009, 27(3): 74-77. https://www.cnki.com.cn/Article/CJFDTOTAL-JTJS200903018.htm

    ZHAI Ya-qiao, WENG Jian-cheng, RONG Jian, et al. A travel speed forecasting algorithm based on multi-source data fusion[J]. Journal of Transport Information and Safety, 2009, 27(3): 74-77. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JTJS200903018.htm
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