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ofdm_channel_estimation
- OFDM信道估计程序。 该程序包可生成OFDM信号，可显示经衰落信道变化后的OFDM信号波形，且给出了LS，LMMSE多种信道估计算法。-OFDM channel estimation procedure. The package can generate OFDM signals can be displayed by the fading channel changes of OFDM signal waveforms, and
OFDMsystembasedontheconversiondomainchannelestmati
- 本代码是基于OFDM系统的一种转换域估计算法，有整个OFDM系统及改进的信道估计算法仿真。包括LS,MMSE,LMMSE,DFT,及改进后的DCT算法。-The code is based on the OFDM system, the conversion of a domain estimation algorithm, the OFDM system and revamp the entire channel estimation
OFDM
- OFDM仿真程序，信道估计采用LS,MMSE,LMMSE,DCT等方法，做了个比较，ofdm那个是主程序-OFDM simulation program, channel estimation using LS, MMSE, LMMSE, DCT and so on, made a comparison, ofdm that is the main program
channel_estimation
- 包括两种算法的信道估计，lmmse和ls算法，文件还包括一个小m序列的产生函数，可以方便的产生需要的小m序列-There are two types of channel estimation algorithm, lmmse and ls algorithm, the document also includes a small m sequences and functions, can easily generate the re
14.pdf.tar
- Abstract—2×2 unitary precoding based on receiver feedback is applied alongside spatial multiplexing at the base station in HSDPA (D-TxAA) when the mobile terminal supports MIMO transmissios [1]. This precoding will
OFDM_pilot_ch_est
- OFDM信号的导频的插入包含LS,LMMSE,线性插值等-OFDM pilot signal insertion include LS, LMMSE, linear interpolation
gm
- 经典的频谱共享的EI检索算法，运用动态频谱租用来提高频谱利用率。-Dynamic Spectrum Leasing (DSL) is a new paradigm for efficient spectrum sharing in cognitive radio networks that was recently proposed in [1]–[3]. Unlike in a hierarchical dynamic s
channel-estimation-ofdm
- ofdm系统信道估计，基于LS,LMMSE,LRMMSE等准侧。是学习的好工具。-ofdm channel estimation system, based on LS, LMMSE, LRMMSE other potential side. Is a good tool for learning.
MIMO-OFDM
- 运用matlab搭建了MIMO—OFDM系统，并仿真了该系统在awgn信道，平坦衰落和多径信道下的误码率。-Using matlab built a MIMO-OFDM systems, and simulation of the system in awgn channel, flat fading and multipath channel BER.
channelestimation
- 基于802.16e下行PUSC子载波分配的信道估计算法，包含ls与lmmse。信道模型为ITU vehicular test A。-802.16e dl-pusc channel estimation，ls，lmmse. itu vehicular test a
Ols__mmse_lmmF
- ofdm信道估计仿真（ls算法，mmse算法，还有一种改进的的mmse算法lmmse，能直接在马特拉并上运行） -The ofdm Channel Estimation Simulation (ls algorithm, the MMSE algorithm, there is a improved mmse algorithm lmmse directly in Matera and on the run)
LMMSE
- LMMSE，线性最小均方误差估计，一种参数估计的方法，使用的代价函数为均方误差。-The LMMSE, linear minimum mean square error estimation, a parameter estimation method, using the cost function for the mean square error.
lmmse_estimation
- LMMSE估计就是MMSE算法的特例，通过求得一个合适的信道冲击响应（CIR），使得通过CIR计算出的接收数据与实际数据的误差的均方和最小。-LMMSE estimate is a special case of the MMSE algorithm, to obtain a suitable channel impulse response (CIR), so that the received data and the error
MIMOOFDM
- MIMO-OFDM系统信道估计算法研究(LS,LMMSE),对受加性高斯白噪声干扰，多径效应影响的信号，仿真研究MIMO-OFDM的性能-A Study on the Channel Estimation Algorithms of MIMO-OFDM System
lmmse
- 设信道响应已知。采用线性模型下的线性MMSE估计方法，根据观测信号yk估计发送信号xk。-Let the channel response is known. MMSE linear estimation method using a linear model, according to the observed signal yk estimated transmitted signal xk.
alamouti2x1
- we present a new space–time block code for timeand frequency-selective (doubly-selective) channels. It can be interpreted as the extension of the Alamouti code to doubly-selective channels, and relies on a joint time–f
MIMO_OFDM_LSE_CHAN_EST_Original
- this a channel estimation file using ls and lmmse method -this is a channel estimation file using ls and lmmse method ....
LMMSE
- In statistics and signal processing, a minimum mean square error (MMSE) estimator is an estimation method which minimizes the mean square error (MSE) of the fitted values of a dependent variable, which is a common measur
OFDM-Channel-estimation
- OFDM系统各个信道估计算法仿真，包括：基于QAM16块状导频的LS、LMMSE、LSMMSE(SVD)；基于QAM16梳状导频的LS等。-Respective channel estimation for OFDM systems simulation algorithm, comprising: a block-based pilot QAM16 LS, LMMSE, LSMMSE (SVD) QAM16 based comb-l
LMMSE估计信道均衡
- 设信道响应已知。采用线性模型下的线性MMSE估计方法，根据观测信号yk估计发送信号xk(Set channel response known. A linear MMSE estimation method based on the linear model is used to estimate the transmitted signal YK according to the observed signal XK)