DocumentCode :
232005
Title :
A simulation model for ship-to-ship rayleigh fading channels
Author :
Junfeng Wang ; Yue Cui ; Shexiang Ma ; Xin Meng ; Jianfu Teng
Author_Institution :
Sch. of Comput. & Commun. Eng., Tianjin Univ. of Technol., Tianjin, China
fYear :
2014
fDate :
19-23 Oct. 2014
Firstpage :
1692
Lastpage :
1697
Abstract :
Accurate modeling of the ship-to-ship (S2S) fading channels is critical not only to the shipborne automatic identification system design but also to the verification and performance evaluation of other maritime wireless communication systems. The statistical properties of S2S fading channels are quit different from either the terrestrial-based mobile communication channels or the typical fixed-to-mobile maritime radio channels, thereby requiring new methods for their simulation. This paper for the first time proposes a two-ring model to simulate the S2S local scttering environment and develops a statistical sum-of-sinusoids simulator for Rayleigh fading. The new model has a lower mean square error of the auto-correlation and cross-correlation functions, i.e., the statistical properties almost converge to the desired ones. In addtion, this model yields adequate statistics with only 15 simulation runs.
Keywords :
Rayleigh channels; correlation theory; marine communication; mean square error methods; statistical analysis; S2S local scttering environment; auto-correlation function; cross-correlation function; fixed-to-mobile maritime radio channel; maritime wireless communication system; mean square error; ship-to-ship Rayleigh fading channel; shipborne automatic identification system design; simulation model; statistical property; statistical sum-of-sinusoid; terrestrial-based mobile communication channel; two-ring model; Computational modeling; Correlation; Manganese; Mathematical model; Numerical models; Rayleigh channels; Rayleigh fading; Ship-to-ship fading channel; Statistical property; Sum-of-sinusoids channel simulation model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing (ICSP), 2014 12th International Conference on
Conference_Location :
Hangzhou
ISSN :
2164-5221
Print_ISBN :
978-1-4799-2188-1
Type :
conf
DOI :
10.1109/ICOSP.2014.7015283
Filename :
7015283
Link To Document :
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