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: 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: MIMO系统高效的球形译码技术，具有较低的译码复杂度，比较新的论文-Efficient sphere decoding in MIMO systems, with low decoding complexity, and relatively new papers Platform: |
Size: 266240 |
Author:yangjun |
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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 with mimo