Description: 本程序为一个实现MIMO-OFDM信道估计的程序，程序中采用的为2*2系统，可以换成其他系统-procedures for the realization of a MIMO-OFDM channel estimation procedures, procedures for the use of 2* 2 system, could be replaced with other systems Platform: |
Size: 2048 |
Author:刘斌 |
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Description: Subspace Projection Based Blind Channel Order
Estimation of MIMO Systems
m file for a classical channel order estimation method -Subspace Projection Based Blind Channel OrderEstimation of MIMO Systemsm file for a classical channel order estimation method Platform: |
Size: 521216 |
Author:软猫 |
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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: |
Size: 1024 |
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: |
Size: 1024 |
Author:gigicheon |
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Description: 这是一个基于空时分组编码的MIMO_OFDM通信系统的仿真设计。此系统包括QPSK调制解调，IFFT调制，空时编解码，基于训练符号的信道估计等通信模块。
-This is a space-time block coding based on the MIMO_OFDM Communication System Simulation and Design. This system consists of QPSK modulation and demodulation, IFFT modulation, space time coding and decoding, based on training symbols such as communication channel estimation module. Platform: |
Size: 12288 |
Author:小于儿 |
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Description: This article presents downlink initial synchronization
and cell identification algorithms for long term evolution (LTE) of third-generation (3G) mobile communication systems, which are based on synchronization channel (SCH) and cell specific pilot symbols, respectively. Platform: |
Size: 504832 |
Author:HamidReza Mirsalari |
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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: It the document on pdf having the channel estimation in mimo ofdm systems.describing all MIMO,OFDM,Channel estimation Platform: |
Size: 1202176 |
Author:surya |
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Description: 基于期望最大化(EM)的最大后验信道估计算法(MAP)在高信噪比(SNR)下将很难获得较低的估计误差,并且,对于导频辅助的MIMO-OFDM系统,OFDM符号的数据传输效率随着发送天线的增加而明显下降.为改善这两种缺陷,引入一种等效的信号模型来改善高SNR下的估计性能 在相邻多个OFDM符号内使用相移正交导频序列和联合估计来提高系统的数据传输效率和估计性能 根据角域内信道间的独立性来减小噪声对估计的影响.通过仿真实验可知,所提算法具有更小的估计误差和更高的数据传输效率.-Maximum a posteriori(MAP) channel estimation algorithm usually uses expectation maximum(EM) algorithm to decrease the high computation.However,this kind of operation has a difficulty in obtaining ideal estimation performance at high signal to noise ratio(SNR) because of the convergent feature of EM algorithm.In addition,for pilot-based multiple-input multiple-output with orthogonal frequency division multiplexing(MIMO-OFDM) systems,data transmission efficiency of OFDM symbol will be reduced with the increas... Platform: |
Size: 134144 |
Author:王睿 |
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Description: MIMO-OFDM wireless communications with matlab 例程。包含propagation and fading、SISO channel models、MIMO Channel models、intorduction to ofdm、 synchronization for ofdm、channel estimation、Papr reduction、inter-cell interference mitigation techniques MIMO channel capacity,attenna diversty and space-time coding techniques, signal detection for spatially multiplexed mimo systems, exploitingchannel state information at the transmitter side, multi-user MIMO-MIMO-OFDM wireless communications with matlab routines. Includes propagation and fading, SISO channel models, MIMO Channel models, intorduction to ofdm, synchronization for ofdm, channel estimation, Papr reduction, inter-cell interference mitigation techniques MIMO channel capacity, attenna diversty and space-time coding techniques, signal detection for spatially multiplexed mimo systems, exploitingchannel state information at the transmitter side, multi-user MIMO Platform: |
Size: 801792 |
Author:吴世锋 |
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Description: Performance comparison of RLS and LMS channel estimation techniques with optimum training sequences for MIMO-OFDM systems
Performance comparison of RLS and LMS channel estimation techniques with optimum training sequences for MIMO-OFDM systems Platform: |
Size: 2048 |
Author:MUHAMMAD SHAKIL |
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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 - channel estimation mimo OFDM systems