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Antenna Selection Of MIMO System Over Nakagami Fading Channels

Posted on:2012-11-21Degree:MasterType:Thesis
Country:ChinaCandidate:M Y ChenFull Text:PDF
GTID:2178330335451163Subject:Electronics and Communications Engineering
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With the development of technology, it is also rapid development of communication technology. Communication technology, while there have been many difficulties and problems to be addressed, especially now that more and more mobile communication business volume, would demand the type of communication and quality to meet the communication needs of people now. Communication rate required to guarantee the same time, can guarantee the quality of communication. Through theoretical and practical analysis, multi-antenna technology that is multiple-input multiple-output (MIMO, Multiple-Input Multiple-Output) technology, not only can improve the performance of communication systems, but also to improve the channel capacity has a significant role.Wireless channel will also be the impact of multipath fading, when the strong decline of the received signal will be severely debilitating, and at the receiving end can not reliably detect a serious weakening of the signal, unless the receiving end to have the same information more a copy of magnitude. That is independent of the fading channel can send several copies of the same signal pass receiver, so you can make the signal components may be affected by both fading decreases. The so-called diversity refers to the receiver to provide a copy of the signal, this type of technology is to improve communication performance in fading environment the most effective way.No matter what kind of diversity techniques will be successful, mainly because the signal beam a copy of the information through independent fading process.MIMO wireless communication system of the channel capacity is the main content of the ultimate goal is to reduce hardware cost and computational complexity at the same time, allowing the system greater channel capacity improvement in the level of water injection also appeared in this algorithm (Water Filling), the two algorithms can optimize the average power allocated to the MIMO wireless communication system, all self-confidence in the road, but this algorithm is also the use of a certain range, when the signal to noise ratio to a certain degree of time, but also little is fading to a certain extent, then the channel capacity can not continue to increase. Algorithm based on the water, unlike the adaptive power allocation algorithm, but using k-injection method selected the best antenna combination, then only the antenna in the election of a uniform power distribution, this method reduces the computational complexity.Currently, most reseaches of MIMO wireless communication systems are the Rayleigh distribution for the background, but can only represent the actual part in the phenomenon of Rayleigh distribution, this article focuses on Nakagami fading MIMO-based wireless communication system to do analysis and research related .Firstly, on the MIMO technology background and the development of a brief introduction of MIMO wireless communication system channel model is analyzed theoretically, and on the MIMO technology in the subset, combined techniques such as the theoretical analysis, also made some simulation confirmed the results of some studies, the antenna selection method for making a certain amount of analysis, and under the influence of Rayleigh fading for MIMO wireless communication systems using different antenna selection methods for its simulation. Mainly for Nakagami distribution, and Nakagami fading MIMO-based wireless communication system and its antenna selection system to make a series of simulation, and simulation results are analyzed and compared. The simulation results can be drawn channel capacity and the relationship between the number of selected antennas and different antenna system for the same number of MIMO antenna selection for different Nakagami channel also carried out by the same antenna selection.
Keywords/Search Tags:Multiple-Input Multiple-Output, MIMO, Channel Capacity, Nakagami Distribution, Antenna Selection, Water Filling algorithm
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