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MIMO-OFDM信道估计，用于最小二乘法和线性最小均方估计方法的性能比较-MIMO-OFDM channel estimation for the linear least squares method and the least square method estimates Performance Comparison
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这个是关于OFDM系统的信道估计的算法的两种方法，分别是OFDM的最小二乘和最小均方误差估计的仿真程序代码-the OFDM system is on the channel estimation algorithm of the two methods OFDM are the least squares and minimum mean square error estimate of simulation code
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最小二乘，最小均方误差的OFDM信道估计MATLAB代码-least squares, the minimum mean square error of OFDM channel estimation MATLAB code
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基于最小二乘法和最小均方误差法的信道估计，包括详细的仿真结果，如误码率和均方误差。-Based on the least squares and minimum mean square error of channel estimation methods, including detailed simulation results, such as error rate and MSE.
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本程序比较了LS(最小二乘）和最小均方误差准侧下OFDM信道估计的误码率，给出了LS及MESE实现的源程序，是信道估计初学者的理想参考资料-This procedure compares the LS (least squares) and minimum mean square error of quasi-lateral channel estimation of OFDM bit error rate, given the realization of the LS and the MES
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channel estimation of ofdm using least square algorithm
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频域不同导频密度的信道估计在被研究，并且在高低时延信道其信道估计被固定了导频分配时域。频域信道估计是基于插补，多项式的广义线性模型（或最小二乘法）和维纳滤波（或线性最小均方误差法）的方法。时域的信道估计是用线性插补完成的。我们通过测量在基于克拉克散射模型的瑞利衰落信道上并带有QPSK调制的粗误码率，已经比较了所有这些方案的结果。-Different pilot density in frequency domain channel estimate to research, and its hi
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最全的信道估计仿真，包括最小二乘法，最小均方误差法，变换域法。-The most complete simulation of channel estimation, including least squares, minimum mean square error method, transform domain methods.
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本程序用以仿真块状导频时不同信噪比条件下的误码率和均方误差，信道估计采用最小二乘法和改进的最小二乘法。
-The pilot program for the simulation block different SNR when the bit error rate and mean square error channel estimation using the least square method and the improved least square method.
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A multiple-input multiple-output (MIMO) communication system combined with the orthogonal frequency division multiplexing (OFDM) modulation technique can achieve reliable
high data rate transmission over broadband wireless channels. Channel state i
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最小平方算法，用于信道估计可以判断信道的好坏-Least square algorithm for channel estimation can be judged good or bad channel
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OFDM Channel Estimator in time domain. Least Square Channel Estimator, Diagonal equaliser and LMMSE channel estimator.
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单载波系统在高斯白噪声和多径信道条件下的仿真——加入独立字导频且采用最小二乘信道估计-Single carrier system in gaussian white noise and multipath channel under the condition of the simulation to join the independent word frequency and the least square estimation channel
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channel parameter identification using least mean square method for new beginners.
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OFDM信道估计的几种方法的仿真，包括最小二乘(LS)法、最小均方误差(MMSE)法、线性最小均方误差(LMMSE)法以及奇异值（SVD）分解法等，毕设资料，非常珍贵-several OFDM channel estimation methods,which contains the least-squares (LS), the minimum mean square error (MMSE), the linear minimum mean square error (LMMSE) and
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最小二乘无线信道估计与均衡，产生训练序列，信道估计，mse随信噪比变化曲线
-Least Square channel estimation, MMSE curves,BER chart
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Abstract—Diagonal Bell Laboratories Layered Space-Time (DBLAST)
structure offers a low complexity solution to realize the
attractive capacity of Multiple-input and multiple-output (MIMO)
systems. In this paper, we apply D-BLAST in orthogonal fr
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Matlab code for the least square error channel estimation and Minimum Mean Square channele estimation for a MIMO OFDM system. simulation result is compared with theory.-Matlab code for the least square error channel estimation and Minimum Mean Squa
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Matlab Code for Channel estimation using LS method
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基于OQAM/PDM CO-OFDM系统提出了一种时域的信道估计方法，可以有效提高估计效率。
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