American Journal of Mobile Systems, Applications and Services
Articles Information
American Journal of Mobile Systems, Applications and Services, Vol.4, No.1, Mar. 2018, Pub. Date: Aug. 6, 2018
The Application of Information Theory on Antenna
Pages: 1-5 Views: 1570 Downloads: 295
Authors
[01] Ye Yuting, School of Information Engineering, China University of Geosciences, Beijing, China.
[02] Li Mei, School of Information Engineering, China University of Geosciences, Beijing, China.
Abstract
Antenna can be viewed as a communication system which plays an increasingly important role in our daily life due to the rapid develop of science and technology recently. As for a communication system, we need to pay attention to its validity and reliability in order to transmit information as both fast and great as possible. According to Shannon theorem, there is a limit on the transmission rate of information in the channel, and we call the limit as channel capacity. To increase the rate of undistorted transmission information, we need to improve the channel capacity according to Shannon Second Formula. At the meanwhile, the requirement of channel effectiveness makes us need to improve the efficiency of the antenna. However, there are contradictions between these two indicators. That is to say, the increase in channel capacity leads to the decrease of antenna efficiency, while the improvement of antenna efficiency must be at the expense of small channel capacity. Therefore, the optimal balance between the channel capacity and the antenna efficiency is found through MATLAB simulation, so as to provide better design ideas for the antenna designers.
Keywords
Channel Capacity, Antenna Efficiency, Shannon Formula
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