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: |
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Author:余伟 |
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Description: MIMO-OFDM系统基于MMSE的信道估计算法，为了解MIMO-OFDM信道估计问题的提供一些入门帮助。-MMSE-based MIMO-OFDM system channel estimation algorithm for MIMO-OFDM understand the problem of channel estimation to provide some help getting started. Platform: |
Size: 2048 |
Author:张健康 |
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Description: MIMO-OFDM系统半盲信道估计算法的一篇transaction文章，和大家一起分享。-Semi-blind MIMO-OFDM system channel estimation algorithm for transaction an article to share with everyone. Platform: |
Size: 233472 |
Author:张健康 |
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Description: Iterative receiver techniques, multiple-input – multiple-output (MIMO) processing, and
orthogonal frequency division multiplexing (OFDM) are amongst the key physical layer
technologies when aiming at higher spectral efficiency for a wireless communication system.
Special focus is put on iterative detection, decoding, and channel estimation for a MIMO-OFDM
system. After designing separately efficient algorithms for the detection, channel decoding, and
channel estimation, the objective is to optimize them to work together through optimizing the
activation schedules for soft-in soft-out (SfISfO) components. Platform: |
Size: 3104768 |
Author:ashish |
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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: MIMO-OFDM系统的matlab程序，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-Matlab MIMO-OFDM system procedures, including QPSK modulation and demodulation, IFFT modulation, space-time coding and decoding, symbol-based channel estimation training and other communication module Platform: |
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Author:张日朗 |
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Description: 多天线正交频分复用(MIMO-OFDM,Multiple-Input and Multiple-Output Orthogonal Frequency Division Multiplex)系统中,精确的符号定时同步可使接收端解调数据时消除载波频率偏移和符号间干扰。而由于MIMO空间信道复杂度较高,使得单天线OFDM系统的同步方法不能直接应用于MIMO-OFDM系统中。提出的两步同步方法首先利用时域导频作为第一步同步进行粗同步,然后利用循环交织前缀作为第二步同步对每一个MIMO-OFDM符号进行同步偏差调整。需要指出的是,两次同步过程均可以产生尖锐的相关峰,使得同步精度大为提高。-Accurate timing synchronization of symbol is important for MIMO-OFDM system,and it can eliminate the integral frequency shift of carrier and intersymbol interference.Two-step timing synchronization method is proposed in this thesis.First,the time-domain pilot is employed to obtain coarse timing synchronization,then the interleaved cyclic prefix and maximum likelihood estimation method are adopted to adjust the synchronization difference,through which the correlational characteristic of that window could be ... Platform: |
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Author:王睿 |
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Description: 在多径分量数确定的前提下,MIMO-OFDM系统采用传统的基于导频辅助和盲信道估计算法能获得较好性能。实际无线环境中,多径分量数目与幅度都是时变的,则传统信道估计方法不再适用。该文采用随机集理论建模MIMO-OFDM系统信道多径分量数的变化和MIMO信道。基于此模型提出了集中粒子空间重采样方法(CRS),在保留大概率粒子抽样样本的同时主动抛弃小概率抽样样本,以获得更为准确的真实样本逼近。并提出了基于集中重采样Rao-Blackwellised粒子滤波的信道估计方法(RBPFC)。仿真结果表明:所提出的RBPFC方法信道估计性能最好,基本Rao-Blackwellised粒子滤波方法次之但优于基本粒子滤波算法,卡尔曼滤波的信道估计方法性能最差。-The typical pilot-aided and blind estimation method for MIMO-OFDM channel can achieve good performance when the number of multi-path components is constant.However,in the practical wireless environment,the number of channel taps and amplitude are all unknown and time-varying in whole process,thus typical estimation methods are not suitable.In this paper,the channel-taps varying condition and a new channel model are established by using RST theory.Based on this model,the re-sample method by Concentrating pa... Platform: |
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Author:王睿 |
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Description: 此程序是在MIMO-OFDM系统中，利用角度域进行信道估计，选用DFT的插值方法进行！希望对研究角度域信道估计的人有所帮助！-This procedure is in the MIMO-OFDM system, using the angle domain channel estimation, the selection of DFT interpolation method! I hope to study angle domain channel estimation of some help! Platform: |
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Author:xiaoqiang |
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Description: 主要介绍了现代MIMO—OFDM无线通信系统的事实过程，包括信道估计，同步，纠错的内容-The fact modern MIMO-OFDM wireless communication system processes, including channel estimation and synchronization, error correction Platform: |
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Author:dsz |
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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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