搜索资源列表
NonCvxGroupSparsity
- 本程序为一种基于凸优化的OFDM信道估计算法，平滑SLO算法是求解稀疏线性方程组的一种迭代解法，本程序将其应用于OFDM信道估计，取得了较好的信号估计精度以及速度-This procedure is a convex optimization of OFDM-based channel estimation algorithm, smoothing algorithm SLO is sparse system of linear equations to solve an iterative m
needell-dissertation
- 基于cs的稀疏信道估计算法原理即MATLAB程序-Cs based on the principle of sparse channel estimation algorithm that MATLAB program
romp
- 一种压缩感知重构算法ROMP 需要已知稀疏度-A compressed sensing reconstruction algorithm ROMP needs known sparsity
MIMO_SparseChannel
- 多发多收的稀疏信道估计的仿真程序，运用LS、OMP与时反算法- Multiple overcharged sparse channel estimation simulation program, using LS, OMP and time-reverse algorithm
LW
- ISLO与CoSaMP算法在稀疏多径信道估计中的比较的一篇最新论文。前者明显优于后者。-ISLO and CoSaMP latest paper compares an algorithm in sparse multipath channel estimation. The former is much better than the latter.
omp-belong-to-greedy-algorithm
- 属于贪婪算法中正交匹配追踪算法，用于信道估计预编码中，利用稀疏性，减小信道估计和反馈的开销，此算法的输出为所需要的系数矩阵，压缩包中还有一些说明-Belonging greedy algorithm orthogonal matching pursuit algorithm, used for channel estimation pre-encoding, the use of sparsity, channel estimation and feedback to reduce the ov
spares_channel_estimation
- 稀疏信道估计的经典参考代码，值得下载学习-classic programming code of sparse channel estimation which is deserved for learning and it the website of mathworks.
MP
- 该代码可用于信号的处理。用MATLAB代码书写，可用于稀疏信道的估计-This code can be used to process the signal. Writing code using MATLAB, it can be used to estimate the sparse channel
sparse-channel-estimation-algorithm
- 基于多输入多输出的正交频分复用的压缩感知稀疏信道的估计算法-An estimation algorithm for compressed sensing sparse channel based on multiple input multiple output orthogonal frequency division multiplexing
sparse channel estimation
- 大规模MIMO系统中低复杂度的稀疏信道估计，该资料值得看一看。(Low complexity sparse channel estimation in large scale MIMO systems)
基于压缩感知的MASSIVE MIMO信道估计
- 基于压缩感知的MASSIVE MIMO信道估计，采用OMP算法解决稀疏信道估计问题。MASSIVE MIMO多小区多用户模型，合成稀疏信道（有效解决导频污染）。(Based on compressed sensing for MASSIVE MIMO channel estimation, OMP algorithm is used to solve the sparse channel estimation problem. MASSIVE MIMO multi cell and multi-
基于SAMP算法OFDM系统信道估计11
- 本程序为基于压缩感知的信道估计算法，其用途在于利用信道的稀疏性来降低导频的使用，获得较好的信道估计精度(This program is a compressed sensing based channel estimation algorithm, which uses the sparsity of the channel to reduce the use of pilot and obtain better channel estimation accuracy.)
Massive MIMO 信道估计Trans论文
- 清华大学团队出品，十分好的关于FDD massive MIMO信道估计的文章(Tsinghua University team produced a very good article on FDD massive MIMO channel estimation)
新型大规模MIMO OFDM信道估计方法的研究
- 本篇论文研究的 FDD 模式下的 Massive MIMO OFDM 系统的信道估计方法，通过分析 MIMO OFDM 系统存在的空时共同稀疏性，应用结构化理论处理 Massive MIMO 信道。为了 减少导频的消耗，提出适合的估计方法(In this paper, the channel estimation method of Massive MIMO OFDM system in FDD mode is studied Space-time common sparsity in MI
5G 中的 SCMA Turbo 学习
- 稀疏码多址 (SCMA) 是最近设计的一种扩展技术，其中 QAM 符号被映射到不同的 OFDMA 音调。基于码本的映射可以看作是一种扩频编码过程，其中整形增益有助于提高频谱效率并增强系统性能。本文基于 SCMA 编码方案，提出了一种联合多用户检测 (MUD) 和信道解码方法，应用了“turbo 原理”。与传统的分离检测和解码方案相比，turbo检测性能更好，增益更高，复杂度适中。在此之上，提出了一种改进方法，即在迭代之前修改外在信息。改进是基于信息的可靠性，保持可靠的信息并减少不可靠的信息。具体