A Portable Integrated Ship Monitoring Command System

Ming Liu; Huan Zhang

doi:10.4028/www.scientific.net/AMM.536-537.824

Paper Titles

Parking Navigation System Based on the Double Signal Double Display Intersection Vehicle Terminal and Automobile Internal Information
p.803

Semi-Supervised Machine Learning Algorithms for Classifying the Imbalanced Protocol Flows
p.809

Research on Evaluation of Urban Road Congestion
p.815

Research on Methods for Urban Rail Transit Train Operation Regulation
p.820

A Portable Integrated Ship Monitoring Command System
p.824

The Analysis and Advanced Development of Traffic Flow Information Acquisition Technology in ITS
p.828

Research on Path Planning Algorithm in Intelligent Transportation
p.833

Railway Freight Turnover Forecast Based on the BP Neural Network
p.837

Research on Special Vehicle Road Navigation Algorithm
p.841

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 536-537A Portable Integrated Ship Monitoring Command...

A Portable Integrated Ship Monitoring Command System

Abstract:

This paper proposes a novel and efficient method for channel equalization of MIMO- OFDM system. The method utilizes extreme learning machine (ELM), a class of supervised learning algorithms, to achieve fast training and low bit error rates. The numerical simulation results show that the proposed methods significantly outperform traditional feed-forward neural networks based MIMO-OFDM system equalizers in terms of bit error rate performance.

You might also be interested in these eBooks

Advances in Mechatronics, Robotics and Automation II

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 536-537)

Pages:

824-827

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.536-537.824

Citation:

Cite this paper

Online since:

April 2014

Authors:

Ming Liu, Huan Zhang

Keywords:

Beidou, ECDIS, GPS, Monitoring, Short Wave, VHF

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Shaojun Feng, Washington Y. Ochieng, David Walsh and Rigas Ioannides: A measurement domain receiver autonomous integrity monitoring algorithm, GPS Solutions, Vol. 10, May. 2006, pp.85-96.

DOI: 10.1007/s10291-005-0010-8

Google Scholar

[2] Steve Hewitson and Jinling Wang: GNSS receiver autonomous integrity monitoring (RAIM) performance analysis, GPS Solutions, Vol. 10, July. 2006, pp.155-170.

DOI: 10.1007/s10291-005-0016-2

Google Scholar

[3] Markovic M.: Data Protection Techniques and Cryptographic Protocols and PKI Systems in Modern Computer Networks, IEEE Systems, Signals and Image Processing, 6th EURASIP Conference, Maribor: IEEE Publications, 2007, pp.13-20.

DOI: 10.1109/iwssip.2007.4381086

Google Scholar

[4] Man Ni, Jun Zhang and Sizheng Hu: Control-driver system for a new type of FED based on CPLD, Semiconductor Technology, Vol. 27, No. 7, pp.39-42. (In Chinese).

Google Scholar