Description: sphere decoding for MIMO communication system -sphere decoding for MIMO communication sy stem Platform: |
Size: 8614 |
Author:haiaoliu |
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Description: sphere decoding for MIMO communication system -sphere decoding for MIMO communication sy stem Platform: |
Size: 8192 |
Author:haiaoliu |
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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 Platform: |
Size: 2048 |
Author:Ray |
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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)] Platform: |
Size: 3072 |
Author:bennytang |
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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. Platform: |
Size: 2203648 |
Author:vicky |
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Description: 本文基于MIMO检测中性能和复杂度的矛盾，结合具体的MIMO
检测技术进行深入研究，致力于提供能有效缓解性能和复杂度矛盾冲
突的技术方案。论文首先介绍MIMO系统的基本模型，随后针对球
译码(Sphere Decoding)检测及其相关技术、搜索空间预定义检测器
(Search Space Predetermined Detector，SSPD)算法、并行计算对检
测算法的加速作用以及自动重传机制(Automatic Retransmission
reQuest，ARQ)带来的时间分集对复杂度压力的缓解作用等几方面
展开研究。-As far as is known，few literature deals with the quantified
relationship between complexity and detection performance of SD．
Sphere radius is proposed to be a transition parameter,thus the quantified
relationship is analyzed theoretically．This part of work can be divided
into three paas：1)In order to analyze the performance of SD，the
asymptotic bound of optimal performance is utilized，and latter the
performance loss caused by search space reduction is quantified with the
help of above bound．Since the performance loss is affected by the sphere
radius directly,sphere radius Can be used to represent the performance
feature of SD．2)Based on the characteristic of complexity of SD，derive
all upper．bound of average complexity；therefore the sphere radius
becomes the metric of average complexity．3)By making use of sphere
radius，the bridge between performance and complexity can be built．The
compute simulations verify above analysis for different MIMO use cases． Platform: |
Size: 5345280 |
Author:蜡笔 |
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Description: 在多输入多输出系统中的鲁棒球形译码的实现-We present a maximum-likelihood decoding algorithm for an
arbitrary lattice code when used over an independent fading channel with
perfect channel state information at the receiver. The decoder is based on
a bounded distance search among the lattice points falling inside a sphere
centered at the receved point. By judicious choice of the decoding radius
we show that this decoder can be practically used to decode lattice codes
of dimension up to 32 in a fading environement. Platform: |
Size: 146432 |
Author:应杰 |
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Description: 基于QR分解的宽度优先球形译码，即通常所说的K-best算法，适用于MIMO技术中的接收端信号检测。-Priority sphere decoding based on the width of the QR decomposition, commonly known as the K-best algorithm for the receiver signal detection in MIMO technology. Platform: |
Size: 2048 |
Author:小强 |
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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 Platform: |
Size: 147456 |
Author:田航 |
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Description: 多输人多输出(MIMO)技术是第三代和未来移动通信与个人通信系统实现高数据速率，提高传输质量
的重要途径[1 ]。目前MIMO系统中使用的发射方案主要包括：①贝尔分层空时结构BI STA(Bell Layered
Space Time Architecture)[。 ；②正交空时分组码OSTBC(Orthogonal Space Time Block Coding) ；⑧空时
格型编码STTC(Space Time Trellis Coding) 。-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. Platform: |
Size: 2048 |
Author:田航 |
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Description: QRMMLD算法主程序 仿真 应用 需要主程序调用 请自行解决-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. Platform: |
Size: 4096 |
Author:田航 |
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Description: 这是一个演示应用程序。它给学生的第一印象不同的MIMO检测算法之间的性能差异。目前,它包括三个线性检测、六个球体解码算法,一个启发式和最大似然检测算法。它还涵盖了不相关的和最新相关频道基于LTE R10 36.104规范。这个程序将到期2017.10.30保存数据,需要密码也给出一个示例为老师为学生设计应用。-This is a demo APP for students. It gives students the first impression about the performance difference between different MIMO detecting algorithms. Currently, it includes three linear detection, six sphere decoding algorithms, one heuristic detecting algorithm and maximum likelihood. It also covers both uncorrelated and correlated channel based on latest LTE R10 36.104 spec. This APP will expire on 2017.10.30 and requires pasword to save figures which also gives an example for teacher to design APP for student in a long term. Platform: |
Size: 334848 |
Author:付晓强 |
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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. Platform: |
Size: 28672 |
Author:上善若水 |
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Search - sphere decoding for MIMO