کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
5472381 | 1519918 | 2017 | 21 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Long-range AIS message analysis based on the TianTuo-3 micro satellite
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کلمات کلیدی
ADCMuXLEOITUIMOAISWRCMSSFFTS/N - S / NA/D - آگهیInternational Telecommunication Union - اتحادیه بین المللی مخابراتDetection probability - احتمال تشخیصFast Fourier Transformation - تبدیل سریع فوریهInternational Maritime Organization - سازمان بین المللی دریاییAutomatic identification system - سیستم شناسایی خودکارSignal-to-noise - سیگنال به نویزIdentification - شناساییIntermediate frequency - فرکانس متوسطLow earth orbit - مدار زمین کمMultiplexing - چندگانه شدن
موضوعات مرتبط
مهندسی و علوم پایه
سایر رشته های مهندسی
مهندسی هوافضا
پیش نمایش صفحه اول مقاله
چکیده انگلیسی
The "Type-27 AIS message" is the long-range AIS broadcast message, which is primarily intended for the long-range detection of AIS typically by satellite. The TT3-AIS uses a four-frequency receiver scheme which includes two frequency channels conventionally applied by the AIS system and two new frequency channels allocated to the long-range AIS broadcast message. To the end of April 2016, the TT3-AIS has already received more than 11,400 packets of Type-27 AIS messages. In this paper, a detailed analysis of the Type-27 AIS messages is performed. Firstly, an eavesdropper diagram of the space-borne AIS received from the worldwide vessels is obtained. Secondly, the analysis to the trend of the number and the ratio of the new-type vessels is performed based on the Type-27 AIS message. The detection probability of the new-type vessels is also discussed. The result would be helpful on the usage of the long-range AIS message both for data application and for the improvement in designing the next space-based AIS receiver.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Acta Astronautica - Volume 136, July 2017, Pages 159-165
Journal: Acta Astronautica - Volume 136, July 2017, Pages 159-165
نویسندگان
Shiyou Li, Lihu Chen, Xiaoqian Chen, Yong Zhao, Yuzhu Bai,