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      A Novel Position Estimation Method Based on Displacement Correction in AIS

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          Abstract

          A new position estimation method by using the signals from two automatic identification system (AIS) stations is proposed in this paper. The time of arrival (TOA) method is enhanced with the displacement correction, so that the vessel's position can be determined even for the situation where it can receive the signals from only two AIS base stations. Its implementation scheme based on the mathematical model is presented. Furthermore, performance analysis is carried out to illustrate the relation between the positioning errors and the displacement vector provided by auxiliary sensors. Finally, the positioning method is verified and its performance is evaluated by simulation. The results show that the positioning accuracy is acceptable.

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          Implementation and Performance of a GPS/INS Tightly Coupled Assisted PLL Architecture Using MEMS Inertial Sensors

          Youssef Tawk, Phillip Tomé, Cyril Botteron … (2014)
          The use of global navigation satellite system receivers for navigation still presents many challenges in urban canyon and indoor environments, where satellite availability is typically reduced and received signals are attenuated. To improve the navigation performance in such environments, several enhancement methods can be implemented. For instance, external aid provided through coupling with other sensors has proven to contribute substantially to enhancing navigation performance and robustness. Within this context, coupling a very simple GPS receiver with an Inertial Navigation System (INS) based on low-cost micro-electro-mechanical systems (MEMS) inertial sensors is considered in this paper. In particular, we propose a GPS/INS Tightly Coupled Assisted PLL (TCAPLL) architecture, and present most of the associated challenges that need to be addressed when dealing with very-low-performance MEMS inertial sensors. In addition, we propose a data monitoring system in charge of checking the quality of the measurement flow in the architecture. The implementation of the TCAPLL is discussed in detail, and its performance under different scenarios is assessed. Finally, the architecture is evaluated through a test campaign using a vehicle that is driven in urban environments, with the purpose of highlighting the pros and cons of combining MEMS inertial sensors with GPS over GPS alone.
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            Real-time mobility tracking algorithms for cellular networks based on Kalman filtering

            Z.R. Zaidi, B.L. Mark (2005)
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              Energy-Efficient Estimation of Clock Offset for Inactive Nodes in Wireless Sensor Networks

              Qasim Chaudhari, Erchin Serpedin, Jang-Sub Kim (2010)
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                Author and article information

                Journal
                Journal ID (nlm-ta): Sensors (Basel)
                Journal ID (iso-abbrev): Sensors (Basel)
                Title: Sensors (Basel, Switzerland)
                Publisher: MDPI
                ISSN (Electronic): 1424-8220
                Publication date Collection: September 2014
                Publication date (Electronic): 17 September 2014
                Volume: 14
                Issue: 9
                Pages: 17376-17389
                Affiliations
                [1 ] Information Science and Technology College, Dalian Maritime University, Dalian 116026, China; E-Mail: sfzhang@ 123456dlmu.edu.cn
                [2 ] School of Electronic and Information Engineering, Beihang University, Beijing 100083, China; E-Mail: edkyang@ 123456buaa.edu.cn
                Author notes
                [* ] Author to whom correspondence should be addressed; E-Mail: jiangyi.dlmu@ 123456gmail.com ; Tel.: +86-1810-4080-985; Fax: +86-411-8472-3118 (ext. 801).
                Article
                Publisher ID: sensors-14-17376
                DOI: 10.3390/s140917376
                PMC ID: 4208229
                PubMed ID: 25232913
                SO-VID: 04877c09-4850-48d5-84ee-b6fe4a49577c
                Copyright © © 2014 by the authors; licensee MDPI, Basel, Switzerland.
                License:

                This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license ( http://creativecommons.org/licenses/by/3.0/).

                History
                Date received : 25 June 2014
                Date revision received : 17 August 2014
                Date accepted : 21 August 2014
                Categories
                Subject: Article

                ScienceOpen disciplines: Biomedical engineering
                Keywords: positioning method,displacement correction,time of arrival,automatic identification system (ais)
                Data availability:
                ScienceOpen disciplines: Biomedical engineering
                Keywords: positioning method, displacement correction, time of arrival, automatic identification system (ais)

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