Description: OFDM程序，采用LS信道估计，在不同的调制方式下，测试系统性能。-OFDM procedures, the use of LS channel estimation, modulation in different ways, the test system performance. Platform: |
Size: 28672 |
Author:韩聪 |
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Description: 在OFDM系统中最经典的信道估计方法是LS算法，采用MATLAB对LS算法的性能进行了仿真-OFDM systems in the most classical channel estimation method is LS algorithm, the use of MATLAB on the performance of LS algorithm simulation Platform: |
Size: 1024 |
Author:chen |
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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: |
Size: 1024 |
Author:gigicheon |
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Description: OFDM的MATLAB系统仿真，使用QPSK调制、梳状导频LS信道估计，并且还进行了LS和MMSE信道估计方法的性能比较-MATLAB simulation of the OFDM system, QPSK modulation, combed pilot LS channel estimation, and performance comparison of LS and MMSE channel estimation Platform: |
Size: 8192 |
Author:Ruby |
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Description: 基于matlab的ofdm系统仿真，通过仿真实现了ls 和LMMSE准则的信道估计，并仿真比较了两种方法的性能-Matlab ofdm systems based on the simulation, the simulation criteria to achieve the ls and LMMSE channel estimation, and simulation performance of the two methods compared Platform: |
Size: 2048 |
Author:dashanfh |
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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: |
Size: 729088 |
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: |
Size: 206848 |
Author:王睿 |
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Description: 本程序给出了采用Turbo编码及其信道估计的OFDM的性能仿真。采用时域LS信道估计。对于初学OFDM及信道估计的非常有帮助。-This program is used to simulate the performance of OFDM with turbo coding and time domain LS channel estimation.
It is useful for the primer for learning OFDM systems and channel estimation algorithms. Platform: |
Size: 10240 |
Author:dongming |
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Description: OFDM 系统信道估计LS方法和LMMSE方法的性能比较。由于LMMSE利用了信道的相关性信息，它的性能比LS好。-OFDM system channel estimation performance comparison of the LS method and the LMMSE method. Due to the the LMMSE use of relevant information of the channel, its performance is better than the LS. Platform: |
Size: 6144 |
Author:孔德进 |
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Description: 在 OFDM 数学原理和收发模型的基础上，本文对帧同步、定时同步、频率同
步和采样同步给 OFDM 系统所产生的影响进行了理论分析，同时讨论了基于循环
前缀或训练符号的典型 OFDM 同步算法。参考 802.11a 突发数据帧结构和系统参
数，分析几种 OFDM 同步算法用于突发分组传输的性能；在分析了几种经典的信
道估计算法基础上,通过对复杂度和性能的折衷，选择一种适合本文系统的估计
算法。最后作者提出一种改进型 LS 信道估计算法，该算法考虑了 LS 算法中噪声
的影响，从而提高了低信噪比下信道估计的精度。仿真结果表明，改进算法在低
信噪比下具有良好的性能。
-OFDM mathematical principles and transceiver model based on frame synchronization, timing synchronization, frequency synchronization and sampling synchronization to the OFDM system, the impact of the theoretical analysis are also discussed based on the cyclic prefix or training symbols typical OFDM synchronization algorithm . Reference 802.11a burst data frame structure and system parameters, analyze several OFDM synchronization algorithm for burst packet transmission performance several classic channel estimation algorithm based on a compromise between complexity and performance, select a suitable estimation algorithm in this article. Finally, the author proposed a modified LS channel estimation algorithm that takes into account the effects of noise in the LS algorithm, thus improving the low SNR channel estimation accuracy. Simulation results show that the improved algorithm has good performance in low signal-to-noise ratio. Platform: |
Size: 8734720 |
Author:刘金强 |
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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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Description: OFDM系统信道估计算法MATLAB实现，基于信噪比和误码率对LS、MMSE算法进行性能对比。-OFDM channel estimation algorithm MATLAB system, based on the signal to noise ratio and bit error rate performance comparison of LS, MMSE algorithm. Platform: |
Size: 5120 |
Author:杨平平 |
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Search - Performance of LS Channel Estimation