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Description: sphere decoding for MIMO communication system -sphere decoding for MIMO communication sy stem
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Author: haiaoliu |
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Description: In this correspondence, the computational
complexity of this sphere-decoding based MSDD is analyzed.-In this correspondence, the computationalcomplexity of this sphere-decoding based MSDD is analyzed.
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Description: Sphere Decoder : an m-file to perform sphere decoding
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Size: 8192 |
Author: Saeed |
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Description: VLSI Implementation of MIMO Detection Using the
Sphere Decoding Algorithm-VLSI Implementation of MIMO Detection Using the Sphere Decoding Algorithm
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Author: bailixia |
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Description: sphere decoding algorithm. architecture for sphere decoding.-sphere decoding algorithm. architecture for sphere decoding.
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Author: shanmuga raja |
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Description: 球形译码，用于多天线传输系统的低复杂度信号检测-Sphere decoding for multi-antenna transmission systems of low complexity signal detection
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Size: 2048 |
Author: Ray |
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Description: 3篇IEEE论文，研究球形解码算法的最新文章，希望对大家有帮助-Three IEEE papers, research sphere decoding algorithm the latest articles, want to help everyone
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Size: 1178624 |
Author: 王超 |
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Description: 我在研究LTE上行链路时，编写的MIMO 检测中的球形译码(sphere decoding)算法，及其改进算法。-MIMO detection in the sphere decoding (sphere decoding) algorithm and improved algorithm
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Size: 1024 |
Author: 刘伟 |
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Description: 介绍了MIMO-OFDM系统检测的一种改进的算法--球形解码算法.具体包括:VB球形,CL球形解码算法和改进的算法(KCL和CL-MMSE算法).能仿真出结果.-MIMO-OFDM Systems introduced an improved detection algorithm- sphere decoding algorithm. Specifically include: VB spherical, CL sphere decoding algorithm and improved algorithm (KCL and CL-MMSE algorithm). To simulation result.
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Size: 18432 |
Author: 万勇 |
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Description: 用于MIMO检测的sphere decoder程序- This function implements a soft output sphere decoder.
Based on the paper: C. Studer, M. Wenk, A. Burg, and H. Blocskei: "Soft-Output Sphere
Decoding: Performance and Implementation Aspects", Asilomar 2006
R ... is an upper triangular matrix obtained from the QR decomposition of the MIMO channel H
s ... received symbol (column) vector, s=Q^H*y
dist_ZF ... Distance for the zero forcing solution
symbols_ZF ... ZF solution
M ... number of bits encoded in every layer [1 x nTA]
symbol_alphabet ... for the demapping [nTA x 2^max(M)], filled with zeros for smaller symbol alphabets
bittable ... matrix containing the bits according to the symbol_alphabet [sum(M) x 2^max(M)]
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Size: 3072 |
Author: bennytang |
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Description: 一种比较流行的MIMO通信检测算法，自动球形检测适用NbyN的QAM调制。-a prevailing detection algrithom for MIMO communication, auto(adaptive)sphere decoding detection with N-by-N QAM madulation.
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Size: 1024 |
Author: 王宇 |
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Description: Sphere decoding program. This is the sphere decoding algorithm to achieve maximum likelihood detection. It applies to OFDM and SC-FDE systems.
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Size: 1024 |
Author: 金琦 |
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Description: 此文献介绍了用于病态MIMO系统的一种快速球形译码算法。-This literature introduces a fast sphere decoding algorithm for morbid MIMO system.
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Author: vicky |
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Description: 这是个用matlab实现的球形译码算法 大家可以参考一下 希望有用-This is achieved using matlab sphere decoding algorithm we can refer to I hope useful
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Size: 7168 |
Author: 方苏玲 |
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Description: 16QAM,64QAM,256QAM调制下的球形译码-16QAM, 64QAM, 256QAM modulation sphere decoding
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Size: 24576 |
Author: 无名 |
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Description: ：在长期演进(LTE)系统中，球形译码算法拥有接近于最大似然(ML)的误码率(BER)性能。针对在
16QAM和64QAM等高阶调制情况下球形译码算法计算复杂度和所需硬件资源的急剧增加，提出了一种调整符号搜
索策略的改进型球形译码算法。该算法在不同的检测层采用特定的符号搜索方案，并结合一种基于信噪比的动态调
整半径方法。在无线瑞利信道环境下，对各种球形译码算法进行了仿真。仿真结果表明，提出的改进型算法基本保持
传统球形译码算法较低的BER性能，同时还有效地降低了计算复杂度和硬件实现复杂度。-Motivated by the need for high throughput sphere decoding formultipleinput-
multiple-output (MIMO) communication systems, we propose
a parallel depth-first sphere decoding (PDSD) algorithm that provides
the advantages of both parallel processing and rapid search
space reduction. The PDSD algorithm is designed for efficient implementation
on programmable multi-processor platforms. We investigate
the trade-off between the throughput and computation overhead
when the number of processing elements is 2, 4 and 8, for a 4×
4 16-QAM system across a wide range of SNR conditions. Through
simulation, we show that PDSD can offer significant throughput improvement
without incurring substantial computation overhead by
selecting the appropriate number of processing elements according
to specific SNR conditions
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Size: 147456 |
Author: 田航 |
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Description: 球形解码( Sphere Decoder，SD) 算法能以较低的复杂度实现多输入多输出( Multiple Input Multiple Output，MIMO) 系统的最优检测，是当前受到普遍关注的 MIMO 检测算法。对当前球形解码 的 主 要 研究 成 果 进行 综 述，根 据 搜索策略进行分类，重点分析基于深度优先策略的 VB、CL 和基于宽度优先策略的 K-Best、FSD 算法，并且讨论了几种初始半径的选择方法，最后在准静态平坦瑞利衰落环境下对上述算法进行了性能仿真比较-Sphere decoding (Sphere Decoder, SD) algorithm can achieve lower complexity MIMO (Multiple Input Multiple Output, MIMO) system, optimal detection, are currently subject to widespread concern MIMO detection algorithm. The main findings of the current sphere decoding were reviewed, classified according to the search strategy, the depth of focus of the analysis based on the priority strategies VB, CL and K-Best, FSD algorithm based on breadth-first strategy, and discuss the selection of the initial radius of several methods Finally, in the quasi-static flat Rayleigh fading environment on the performance of these algorithms are simulated and compared
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Author: 杨佳琳 |
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Description: 通过对广度优先策略中有恒定复杂度的层排序k- best 球译码算法进行分析,提出一种每节点保留可变扩展节点的层排序 k-best 球形译码算法( k-best SDA II) , 在64QAM 调制及每层保留 8 节点的实数 SDA 模型下, 通过仿真的方法得出了保留恒定扩展节点的 k-best SDA 当每节点保留扩展节点数大于等于 2 时, 性能基本不变( k-bestSDA I)-Through the breadth-first strategy in a constant layer of complexity sort k-best sphere decoding algorithm for analysis, each node is proposed to retain the variable nodes expanded layer sorting k-best sphere decoding algorithm (k-best SDA II) In 64QAM modulation and keep each real number SDA 8-node model, obtained by simulation methods to retain a constant expansion node k-best SDA 2:00 when the number of nodes per node expansion greater than or equal retention, performance is essentially the same (k-bestSDA I)
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Size: 578560 |
Author: 杨佳琳 |
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Description: 这是一个球形译码检测算法的一种改进算法对以往的球形译码检测算法作出了相应的改进-An improved detection algorithm sphere decoding algorithm
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Size: 442368 |
Author: 左登 |
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Description: Simulation Code for MIMO Signals with and without a Sphere Decoding front-end -This README file explains how to use the C++ programs that were used
to generate the simulations in this thesis. The capabilities and
limitations of these programs will also be discussed. An overview
of the program source code files which appear later in this
appendix can be found in the following table.
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Size: 28672 |
Author: 上善若水 |
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