Description: MIMO系统信道估计算法研究
针对LS算法的分析结论所进行的仿真，将根据分析结果，对信噪比的取值、训练序列的长度以及最优训练的选取，分别进行仿真实验。-MIMO systems channel estimation algorithm for the LS algorithm for the analysis of the conclusions of the simulation, the results of the analysis will be based on the signal to noise ratio value, the length of training sequence, as well as the selection of the best training, simulation, respectively. Platform: |
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Author:gigicheon |
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Description: MIMO 系统信道估计算法研究
引入MMSE算法，将之与LS算法共同仿真，进行算法之间性能的对比
-MIMO systems channel estimation algorithm for the introduction of MMSE algorithm, will be shared with the LS algorithm simulation, algorithm to the comparison between the performance Platform: |
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Author:gigicheon |
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Description: 本文主要研究了基于802．1ln协议的MIMO．OFDM信道估计的研究。首先给出了MIMO。OFDM的信道模型。在此基础上导出了在慢衰落信道下的基于块状导频的LS信道估计算法。-This paper mainly based on 802.1ln agreement MIMO-OFDM Channel Estimation. Firstly, MIMO. OFDM channel model. On this basis, derived in the slow fading channel block-based pilot of the LS channel estimation algorithm. Platform: |
Size: 1514496 |
Author:余伟 |
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Description: 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. Platform: |
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Author:loihuynh |
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Description: 用小波变换思想,提出一种基于小波去噪的多输入多输出正交频分复用(MIMO-OFDM)系统信道估计方法。该方法首先利用最小二乘(LS)方法进行信道估计,然后对估计后的结果进行小波去噪处理。与传统最小二乘信道估计方法相比,该方法不需要预先知道信道的统计特性,信道估计性能有明显提高。-Based on wavelet transform,a method for MIMO-OFDM channel estimation with noise reduction is given,which is divided into DFT interpolation and noise reduction.Simulation experiments shows that,Compared with the traditional linear interpolation or DFT interpolation,the new method does not need any statistical characteristic of channel and it has good performance of channel estimation. Platform: |
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Author:王睿 |
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Description: 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 Platform: |
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Author:LaviniaChen |
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Description: LS（Least Square，最小二乘法）算法是信道估计算法中最基本的算法之一。在MIMO-OFDM系统中，经常选择LS算法或其改进算法对信道进行估计。利用LS算法设计信道估计器，算法结构简单易于实现，且估计器不需要知道信道中各个收发天线对之间的自相关矩阵和噪声。-LS (further Square, Least Square) algorithm is one of the most basic algorithm of channel estimation algorithm. In MIMO- OFDM systems, often choose LS algorithm and its improved algorithm for channel estimation. Use of channel estimator and the LS algorithm design algorithm structure simple and easy to implement, and the estimator does not need to know in the channel between the sending and receiving antenna for autocorrelation matrix and noise.
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Author:su |
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Description: 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. Platform: |
Size: 80896 |
Author:werad |
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Search - ls channel estimation mimo