搜索资源列表
LTE_A_DL1.11--1
- 基于OFDM的LTE下行链路: 包括main、预编码、分层映射、调制、ofdm-LTE downlink based on OFDM: Including main, pre encoding, hierarchical mapping, modulation, OFDM
Algorithms_Comm_Systems
- 非常全面详实的讲述了通信领域的算法与应用!从各章节题目可以看出,包括了比如维纳滤波,线性预测,自适应滤波,调制理论,信道均衡,OFDM,扩频系统,信道编码,TCM,同步,预编码,自训练均衡,干扰消除等等。-The motivation for this book is twofold. On the one hand, we provide a didactic tool to students of communications systems. On the other hand, we p
multi_user_MIMO
- 多用户MIMO系统广播信道的一种信道反转方式处理下的预编码检测算法程序,给初学者可以借鉴一下-Multi-user MIMO system broadcast a channel inversion mode channel under the pre-treatment procedures encoding detection algorithm for beginners can learn it
codebook_generator
- mimo系统预编码的时候的码本生成的代码-mimo system when pre-coding codebook generated code
add_CP
- 在ofdm的系统中,为了减少误差 加上了循环前缀的程序 以及一个毫米波mimo系统的混合预编码处理方式的介绍-Ofdm system in order to reduce the error plus the cyclic prefix and the procedures described mixing precoding processing mode of a millimeter wave system mimo
MIMO-channels
- 空时相关MIMO 信道下的空时联合Huffman 有限反馈预编码-Joint space-time Huffman limited feedback precoding for spatially and temporally correlated MIMO channels
Energy-efficient
- 能量效率 射频 预编码 5G,相关编码,多蜂窝移动通信-Energy efficient coordinated precoding design for a multicell system with RF energy harvesting
zf_mmse
- 多用户MIMOzf_mmse预编码算法的性能分析-Performance Analysis of Multi-user pre-coding algorithm MIMOzf_mmse
EE3
- 关于空间预编码的文章:Spatially Sparse Precoding in Millimeter Wave MIMO Systems。对研究空间预编码的研究者有用。-About spatially precoded article: Spatially Sparse Precoding in Millimeter Wave MIMO Systems. Useful for research on space pre-coding researchers.
Alamouti_2x1_ant_selection
- 关于OSTBC的天线选择,采用天线选择的Alamouti STBC方案,比较BER性能,由仿真图能得出天线选择方法能够提供比预编码更多的增益。-About OSTBC antenna selection, antenna selection scheme using Alamouti STBC, compare the BER performance, can be reached by a simulation diagram antenna selection method can prov
Dirty_or_TH_precoding
- 该程序产生DPC或TH预编码的BER曲线,可得出DCP优于THP.-This program generates the DCP or TH precoding BER curves can be drawn DCP better than THP.
1.m
- 此源代码是mimo系统的预编码设计中的块对角化模块,在matlab中运行后可以更加清楚的了解块对角化模块的概念-This source code is a pre-coding system designed mimo block diagonalization module, after running in matlab can more clearly understand the concept of block diagonalization module
THP_CODER
- 在多用户条件下,通过设计合理的预编码矩阵可以降低多用户之间的信息干扰,尤其是采用复杂度比较高的非线性预编码算法,使用最多的算法比如THP(脏纸编码算法), 在复杂度和性能上取得折中。 关键技术 该资料包括了编码和解码两个.m文件,通过在发送端采用合理的预编码矩阵设计,在接收端通过合理的解预编码矩阵设计,可以使得单个小区内的多用户之间数据流不会出现因为相邻小区导频的复用而带来的干扰。-In multi-user criteria, designed by pre-coding matrix
CSIP
- 在CSIP中,只对各用户单数据流的情况进行了仿真。采用的预编码算法主要有DSLNR(即直接运用CSIT下的预编码算法)、ESLNR(即对SLNR进行均值计算的,在CSIP中,引入均值计算的与SLNR有关的算法,其文件名中都有modified以示区别)、EMMSE(即陈明老师那边的那篇文章中的预编码算法)。Scheduling中也只是简单的观察了RoundRobin、MaxH、DMMSLNR和EMMSLNR(前者没有均值计算,后者有)的性能对比。-In CSIP, only a single da
zf-and-mmse
- 预编码中的迫零算法和均方误差算法,在接收端做编码处理-The zero-forcing pre-coding algorithm and the mean square error algorithm, at the receiving end to do the coding process
MISO_MU
- 这个程序是用来仿真多小区多用户,已知信道信息,采用OFDM,QPSK调制下的误码性能分析,特点是将预编码参数放在频域处理。-This program is used to simulate multi-user multi-cell, known channel information, using OFDM, QPSK modulation BER performance under analysis, is characterized by the pre-coding parameters
DFT
- 3DMIMO下DFT和格拉斯曼的预编码仿真实例,里面配有仿真结果,供大家学习参考-DFT and Grassmannain
QPSK
- 主要是现有的3D MIMO的预编码方案,包括QPSK-Some schemes of existing 3D MIMO codebook are introduced, including QPSK
error
- 相位加权预编码技术,能够降低误码率,通过宽线性的处理,增大系统容量-pahse weighted technology which can reduce the error performence,increase system capacity though widly linear processing
TransmitDiversity_Mode2
- LTE下行链路发射分集仿真,仿真配置:16QAM调制、1/3码率Turbo编码、10MHz带宽、每个子帧一个PDCCH符号、单码字、8次迭代Turbo译码,每次处理1000万比特用户数据、早期终止机制、MMSE(最小均方误差)MIMO接收器,PDSCH发射端进行发射分集预编码。信道模型是LTE-MIMO信道附加AWGN信道。收发两端采用的双天线配置,天线相关性为中等。-LTE downlink transmit diversity simulation configuration: 16QAM