Description: mimo的天线选择算法,可以作为这方面学习的参考,-MIMO antenna selection algorithm can be used as reference for learning in this area, Platform: |
Size: 447488 |
Author:东东 |
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Description: uwb
天线选择算法
基于范数的选择算法和基于相关的选择算法的比较-UWB antenna selection algorithm based on the norm of the selection algorithm and selection algorithm based on the relevant comparison Platform: |
Size: 1024 |
Author:tang |
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Description: 总结了天线选择算法的现状。提出了天线选择算法的发展方向和热点。-Summarizes the status of the antenna selection algorithm. Proposed antenna selection algorithm development direction and hot spots. Platform: |
Size: 24576 |
Author:Yu Jian |
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Description: 这是描述天线选择比较经典的文献,详细的阐述了接收机端和发射端的天线选择算法,并给出了详细的算法描述。-This is described in more classic literature antenna selection, detailed description of the receiver side and the transmitter antenna selection algorithm, and gives a detailed description of the algorithm. Platform: |
Size: 290816 |
Author:Yu Jian |
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Description: 该资料给出了一种自适用的天线选择算法,并给出了详细的算法描述,及仿真结果。-The information gives a self-applicable antenna selection algorithm, and gives a detailed description of the algorithm, and simulation results. Platform: |
Size: 419840 |
Author:Yu Jian |
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Description: In this paper, we study Spatial Tomlinson-Harashima
Precoding (STHP). We propose a generalization of the
original structure of STHP which enables different transmission
power per antenna. The main advantage of the new scheme is
that it has a scalable structure because, despite of the variable
power per transmitter (even if some transmitters are switched
off), the precoding structure and its properties are preserved.
Next, we formulate the maximum achievable rates problem for
GSTHP and solve it numerically. In addition, we show that the
problem can be quasi-optimally solved in a closed form in a
limit case, or if some approximations are done. The solution is
found to be an antenna-selection algorithm with uniform power
allocation among the active transmitters. We finally present some
simulation results and conclusions. Platform: |
Size: 447488 |
Author:ashish |
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Description: 天线选择技术能够的效地减小射频链路的成本和系统的复杂度, 同时又能保持MI M0系统的主要优点。本文首先对已有的经典的天线选择算法分别进行了介绍, 对其优缺点进行分析, 而后基于范数方法的思想, 提出一种新的天线选择算法。 该算法具有计算简单的特点, 通过仿真表明, 在接收天线
数目较大的时候, 其性能较范数算法有明显提高。-The effectiveness of antenna selection technology can reduce the cost of radio link and system complexity, while maintaining the primary advantage of MI M0. This article first classic of the existing antenna selection algorithm was introduced, respectively, to analyze its strengths and weaknesses, and then the norm-based method of thinking, a new antenna selection algorithm. The algorithm has the characteristics of simple computation, the simulation shows that the larger the number of the receiving antenna when the norm algorithm performance significantly higher than improved. Platform: |
Size: 209920 |
Author:hspeak |
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Description: 该资料提出一种新的快速简单的天线选择算法以在获得很高的MIMO系统容量的同时, 大大降低了系统误码率和计算复杂度。-This information presents a new fast and simple antenna selection algorithm for high MIMO system capacity while greatly reducing the system bit error rate and computational complexity. Platform: |
Size: 162816 |
Author:谢小嘉 |
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Description: 这个是快速天线选择算法里递减型快速天线选择与递减型快速天线选择算法的代码-This is a fast antenna selection algorithm code descending type fast antenna selection algorithm Platform: |
Size: 4096 |
Author:丁云涛 |
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Description: MIMO 最优天线选择算法,即穷举搜索方法-Optimal MIMO antenna selection algorithm,is also the exhaustive search method Platform: |
Size: 2048 |
Author:wangjun |
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Description: MIMO系统天线选择算法及结果
内有基本系统构成与天线选择算法-MIMO system antenna selection algorithm and results within the basic system structure and antenna selection algorithms Platform: |
Size: 97280 |
Author:joycelee |
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Description: 大规模系统中的天线选择算法的MATLAB仿真程序(MATLAB simulation program of antenna selection algorithm in large scale system) Platform: |
Size: 39936 |
Author:刘晓智
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