Description: 基于子空间的MIMO-OFDM系统的盲信道估计，可直接运行-Subspace-based MIMO-OFDM system for blind channel estimation can be directly run Platform: |
Size: 2048 |
Author:王慧 |
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Description: 这篇文档重在介绍多载波的MIMO技术中如何进行肓信道估计,具有很高的价值.-Introduction This document focus on the MIMO multi-carrier technology in how to proceed with blind channel estimation of high value. Platform: |
Size: 366592 |
Author:wanghuan |
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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: 基于二阶和高阶统计量的MIMO系统盲信道估计，可完美进行信道估计，进行误码率及误差分析等。-Based on second-order and higher-order statistics of the MIMO system, blind channel estimation can be the perfect channel estimation carried out for the bit error rate and error analysis. Platform: |
Size: 23552 |
Author:张张 |
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Description: 基于卷积信号的MIMO系统盲信号估计，运用卷积的方法进行盲信道估计-Convolution-based MIMO system, blind signal signal is estimated using the method of convolution-blind channel estimation Platform: |
Size: 31744 |
Author:张张 |
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Description: 基于二发二收MIMO系统的半盲信道估计，其中main为主程序，其它为子程序-Second, land-based MIMO system made of two semi-blind channel estimation, in which main-based process for the subroutine other Platform: |
Size: 19456 |
Author:张张 |
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Description: 对一个使用了线性时空编码的多输入多输出系统的盲信道估计-Blind Channel estimation for MIMO systems using Linear Space time codes Platform: |
Size: 7168 |
Author:水林声 |
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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: 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: |
Size: 610304 |
Author:王睿 |
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Description: 基于MIMO-OFDM系统半盲信道估计算法的两篇经典transaction文章，和大家一起分享- Two classic transaction article based on the semi-blind channel estimation algorithm in MIMO-OFDM systems, and share with everyone Platform: |
Size: 1468416 |
Author:贾成松 |
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Description: MIMO-OFDM系统子空间法进行盲信道估计，可更改循环前缀长度以比较不同CP对估计性能的影响。-subspace method for blind channel estimation for MIMO-OFDM system. One can change the length of cyclic prefix in order to compare the performance of different CP impact on the estimates. Platform: |
Size: 2048 |
Author:snoopy |
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Description: Blind Channel Estimation Enhancement for Mimo-OFDM Systems under High Mobility Conditions-Blind Channel Estimation Enhancement for Mimo- OFDM Systems under High Mobility Conditions Platform: |
Size: 152576 |
Author:li |
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Description: In this paper, we investigate blind channel estimation for Multiple Input Multiple Output (MIMO) multi-carrier
CDMA (MC-CDMA) systems in the uplink scenario. An Autocorrelation Contribution Matrix (ACM) method is proposed in
comparison with the subspace approach. Using only second order
statistics, the ACM approach shows similar performance to that
of subspace based approach. The added advantage is that it eliminates the need for rank estimation and noise power calculation
as in subspace technique. In particular we incorporate blind
channel estimation with Layered Space Frequency Equalisation
(LSFE),which employs successive interference cancellation and
therefore provides significant performance improvement over the
conventional linear minimum mean square error (MMSE) based
approach. Platform: |
Size: 109568 |
Author:Casper_z
|
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