在VHF數位鏈路(VHF Digital Link)中，STDMA(Self-Organized Time Division Multiple Access) 使用GNSS (Global Navigation Satellite System) 提供定位及標準時，使得網路內各無線電台經由自我學習、組織而能平等使用網路，不再受限於主、副台之架構，使移動載具間之資料交換更易進行。
STDMA建立於GNSS之標準時，一旦無法獲得則必須採行時間估測以維持系統運轉。在失掉GNSS同步信號時，若無間接的UTC(Coordinated Universal Time)可用則須以接收其他電台信號作為同步估測之用。在STDMA所構成之區域網路中，對每一成員的信號接收皆可視為感測器之量測，而對同步信號源的遠近及其各別的發射、同步狀態可區分為不同的解析度。本論文利用“多感測器—多解析度”方法以得到高精確度與高解析度的時間估測。

In the VHF Digital Link, STDMA (Self-Organized Time Division Multiple Access) employs the GNSS (Global Navigation Satellite System) to fix the position and obtain the precision time simultaneously, and then utilizes the self-organization algorithm to allocate the time slot for data transmission. Without reliance on a master station, the mobile stations can communicate with each other more easily.
Estimation of synchronization and STDMA Algorithm are the key issues for the STDMA based AIS (Automatic Identification System). In case of losing the primary time source, timing estimation has to be performed to maintain the system operation. We assume that all the stations in the network would function as a secondary time source to the failed station. Measuring the time of arrival of a transmitted signal from other station can be treated as a measurement of sensor with observation noise. On the other hand, the sync state of the station, reporting rate and the signal to noise ratio related to the distance between two stations determine the precision and resolution of the measurement. Accordingly, we label the available stations with the multiresolution status. Utilizing the concept of multisensor data fusion and multiresolution technique, we obtain a more accurate time estimate.

中文摘要..................................................i
英文摘要.................................................ii
目錄....................................................iii
表目錄....................................................v
圖目錄...................................................vi
第一章 序論...............................................1
1.1 前言............................................1
1.2 研究目的........................................3
1.3 研究方法........................................4
1.4 各章節提要......................................4
第二章 AIS/SOTDMA系統架構.................................6
2.1簡介.............................................6
2.2 AIS組成與應用...................................7
2.3 AIS關鍵技術.....................................9
2.4通訊協定........................................14
2.4.1實體層.....................................15
2.4.2資料鏈路層.................................18
2.5 SOTDMA Algorithm...............................23
第三章 TOA量測...........................................27
3.1 2-bit差分偵檢器之TOA量測.......................27
3.1.1 TOA量測結果...............................28
3.2利用RMT技術於VDL Mode 4系統中...................31
3.2.1 RMT觀念概述...............................31
3.2.2接收機處理程序.............................33
3.3.3 RMT結果...................................37
第四章 STDMA在AIS上之多解析度特性........................39
4.1 AIS訊號特性...................................39
4.2 STDMA之多解析特性.............................44
第五章 計算機模擬........................................51
第六章 結論..............................................58
參考文獻.................................................59

[1] 船舶自動識別系統(AIS)暨整合船橋系統(IBS)研討會,“船舶自動識別系統的技術與應用,” 附錄2, p103-112, 民國九十年七月。
[2] ITU, Technical characteristics for a universal shipborne automatic identification system using time division multiple access in the VHF maritime mobile band, RECOMMENDATION ITU-R M.1371-1, 2001.
[3] Revision of SOLAS Chapter V, IMO Paper NAV 45/5, 12 January 1999 and Working Papers from NAV 45 (September 1999).
[4] D.M. Akos, M. From, M. Karlsson and K. Larsson, “Receiver Measured Time in the VDL Mode 4 System,” IEEE Position Location and Navigation Symposium, 2000.
[5] K.C. Chou, A.S. Willsky, and A. Benveniste, “Multiscale Recursive Estimation, Data Fusion, and Regularization,” IEEE Transaction on Automatic Control, vol. 39, pp. 464-478, March 1994.
[6] K.C. Chou, A.S. Willsky, and R. Nikoukhah, “Multiscale Systems, Kalman Filters, and Riccati Equations,” IEEE Transactions on Automatic Control, vol. 39, pp. 479-492, March 1994.
[7] L. Hong, “An Attractive Approach to Distributed Multiresolutional Estimation,” Proceedings of the IEEE 1992 National Aerospace and Electronics Conference, pp. 381-387.
[8] L. Hong, “Adaptive Distributed Filtering in Multicoordinated Systems,” IEEE Transactions on Aerospace and Electronic Systems, vol. 27, pp. 715-724, July 1991.
[9] L. Hong and T. Scaggs, “Real-Time Optimal Multiresolutional Sensor/Data Fusion,” Proceedings of 1993 IEEE International Conference on Robotics and Automation, pp. 117-122, vol. 2.
[10] http://www.plaska.com.tw/page/pageais.htm
[11] Rikard Kjellberg, “Capacity and Through using a Self Organized Time Division Multiple Access VHF Data Link in Surveillance Applications ,” Master Thesis, University of Stockholm and The Royal Institute of Technology, Stockholm, Sweden, GP&C, Sweden, April 1998.
[12] Mattias Karlsson, Kjell Larsson, Markus From, Johan Candreus, “Secondary timing/positioning,” Spring 1999.
[13] Yongacoglu, Abbas; Makrakis, Dimitrios; Feher, Kamilo, “Differential detection of GMSK using decision feedback,” IEEE Transactions on Communications, vol. 36, no 6, p 641-649, ISSN 0090-6778, June 1998.
[14] Jian Gu, Gordon L. Stuber, “A New Differential Detector for GMSK,” IEEE Transactions on Communications , 1995.
[15] Harre, I. (1997), “An improved transmission scheme for automatic Identification System(AIS) using the broadcast principle- the Loa concept,”Ortung and Navigation, No 2, 1997.
[16] Geoff Simthson, “Introduction to Digital Modulation Schemes,”the Institution of Electrical Enginners, 1998