Search - least square channel estimation

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[Communication-Mobile] MIMO_OFDM_estimation DL : 0: 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
Date : 2008-10-13 Size : 1.99kb User : 周许朝
[Communication-Mobile] ls_mmse DL : 0: 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
Date : 2008-10-13 Size : 4.98kb User : 周洁
[Other resource] ls_mmse_chestimation_ofdm DL : 1: 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
Date : 2008-10-13 Size : 5.29kb User : bruze.zheng
[Communication-Mobile] MIMO_OFDM_estimation DL : 0: 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
Date : 2025-07-11 Size : 2kb User : 周许朝
[Communication-Mobile] ls_mmse DL : 1: 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
Date : 2025-07-11 Size : 5kb User : 周洁
[matlab] ls_mmse_chestimation_ofdm DL : 0: 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
Date : 2025-07-11 Size : 5kb User : bruze.zheng
[matlab] ls_mmse DL : 0: MATLAB 代码的最小均方MMSE和最小二乘法LS算法的程序-MATLAB code MMSE minimum mean-square algorithm and the least squares procedure LS
Date : 2025-07-11 Size : 5kb User : 毛山明
[Communication-Mobile] chaestls DL : 0: channel estimation of ofdm using least square algorithm
Date : 2025-07-11 Size : 1kb User : kranti
[matlab] channelestmation DL : 1: 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 MESE source, channel estimation is the ideal reference for beginners
Date : 2025-07-11 Size : 2kb User : 赵亮
[Other] pilotbasedchannelestimatininOFDMsystems DL : 0: 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 high and low delay channel estimation channel was fixed allocation of time-domain pilot. Frequency domain channel estimation is based on interpolation, polynomial generalized linear model (or least squares) and the Wiener filter (or linear minimum mean square error method) method. Time domain channel estimation is done using linear interpolation. We are by measuring the scattering model based on Clark and Rayleigh fading channels with QPSK modulation bit error rate of crude, has compared the results of all these programs.
Date : 2025-07-11 Size : 2.39mb User : 雨儿
[3G develop] chennl DL : 0: 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.
Date : 2025-07-11 Size : 1.24mb User : xiaohan
[3G develop] mathworks DL : 0: 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.
Date : 2025-07-11 Size : 6kb User : xiaohan
[matlab] Content DL : 0: 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 information for both single-input single-output (SISO) and MIMO systems based on pilot aided arrangement is investigated in this paper. The estimation of channel at pilot frequencies with conventional Least Square (LS) and Minimum Mean Square (MMSE) estimation algorithms is carried out through Matlab simulation. The performance of MIMO OFDM and SISO OFDM are evaluated on the basis of Bit Error Rate (BER) and Mean Square Error (MSE) level.-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 information for both single-input single-output (SISO) and MIMO systems based on pilot aided arrangement is investigated in this paper. The estimation of channel at pilot frequencies with conventional Least Square (LS) and Minimum Mean Square (MMSE) estimation algorithms is carried out through Matlab simulation. The performance of MIMO OFDM and SISO OFDM are evaluated on the basis of Bit Error Rate (BER) and Mean Square Error (MSE) level.
Date : 2025-07-11 Size : 712kb User : loihuynh
[3G develop] ofdm-channel-estimation-in-time-domain DL : 0: OFDM Channel Estimator in time domain. Least Square Channel Estimator, Diagonal equaliser and LMMSE channel estimator.
Date : 2025-07-11 Size : 1kb User : miyan
[matlab] LMS-for-channel-estimation DL : 0: channel parameter identification using least mean square method for new beginners.
Date : 2025-07-11 Size : 1kb User : kim
[Other] OFDM-channel-estimation-methods DL : 0: 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 the singular value decomposition (SVD)
Date : 2025-07-11 Size : 93kb User : 杨梅
[Communication] Main_ch_est01 DL : 0: 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
Date : 2025-07-11 Size : 1kb User : daniel
[Program doc] Channel-Estimation-for-DBLAST-OFDM-Systems DL : 0: 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 frequency division multiplexing (OFDM) systems and address the issue of channel estimation. Different other MIMO-OFDM, where symbols at all tones are always available for decision-directed channel estimation, in D-BLAST OFDM, we update estimated channel parameters each time a layer is detected with a least square (LS) approach, using a pieced combination of received signals at previous and current OFDM blocks. The initial estimate is further refined by a robust estimator to exploit the time correlation of channel parameters among OFDM blocks. Computer simulation results show the performance improvement over block-wise channel estimation. It is also shown that D-BLAST with proposed channel estimation is robust to fast fading of channel parameters.-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 frequency division multiplexing (OFDM) systems and address the issue of channel estimation. Different other MIMO-OFDM, where symbols at all tones are always available for decision-directed channel estimation, in D-BLAST OFDM, we update estimated channel parameters each time a layer is detected with a least square (LS) approach, using a pieced combination of received signals at previous and current OFDM blocks. The initial estimate is further refined by a robust estimator to exploit the time correlation of channel parameters among OFDM blocks. Computer simulation results show the performance improvement over block-wise channel estimation. It is also shown that D-BLAST with proposed channel estimation is robust to fast fading of channel parameters.
Date : 2025-07-11 Size : 79kb User : werad
[matlab] Channel-estimation DL : 0: 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 Square channele estimation for a MIMO OFDM system. simulation result is compared with theory.
Date : 2025-07-11 Size : 12kb User : ali
[Communication-Mobile] Channel_estimation_remade DL : 0: Matlab Code for Channel estimation using LS method
Date : 2025-07-11 Size : 1kb User : Geme

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