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Description: Comparison of the performances of the LS and the MMSE channel estimators
for a 64 sub carrier OFDM system based on the parameter of Mean square error
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Size: 3493 |
Author: guoyanpeng |
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Description: 一个对OFDM信道进行盲估计的子空间算法，具有较好的MSE性能
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Size: 2636 |
Author: Laura |
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Description: 多径信道下的OFDM仿真系统，包括编码，映射，交织，调制。信道估计采用判决反馈方法。
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Size: 5165 |
Author: WU |
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Description: 这个是关于OFDM系统的信道估计的算法的两种方法，分别是OFDM的最小二乘和最小均方误差估计的仿真程序代码-the OFDM system is on the channel estimation algorithm of the two methods OFDM are the least squares and minimum mean square error estimate of simulation code
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Size: 5120 |
Author: 周洁 |
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Description: Comparison of the performances of the LS and the MMSE channel estimators
for a 64 sub carrier OFDM system based on the parameter of Mean square error
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Size: 3072 |
Author: guoyanpeng |
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Description: OFDM程序示例：采用64子信道，应用16QAM传输，每个子载波均传输相同的比特数4，不使用信道编码；使用迫零均衡和MMSE均衡，比较两者性能。-OFDM procedures Example: a 64-channel, application 16QAM transmission, each transmission subcarriers are the same number of bits 4, do not use channel coding the use of force balance and MMSE zero balance, compare the performance.
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Size: 2048 |
Author: 穆佳 |
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Description: 一个对OFDM信道进行盲估计的子空间算法，具有较好的MSE性能-1 pairs of OFDM blind channel estimation for sub-space algorithm, with better MSE performance
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Size: 2048 |
Author: Laura |
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Description: 多径信道下的OFDM仿真系统，包括编码，映射，交织，调制。信道估计采用判决反馈方法。
-Multipath channel simulation of OFDM systems, including encoding, mapping, interleaving, modulation. Channel estimation method using decision feedback.
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Size: 5120 |
Author: WU |
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Description: LS MSE CALC ofdm mse scheme
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Size: 1024 |
Author: fahabb |
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Description:
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Size: 2048 |
Author: LeJin |
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Description: MATLAB程序：基于LS和MMSE算法的MSE比较-Comparison of the performances of the LS and the MMSE channel estimators for a 64 sub carrier OFDM system based on the parameter of Mean square error
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Size: 3072 |
Author: Lee |
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Description: 最小均方误差信道估计LS_MSE_calc.m仿真程序。用于ofdm信道估计。-Simulation of main channel LS_MSE. You wish to be useful.I hope that they will bring convenience to. If there is a need to contact.I wish good!
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Size: 2048 |
Author: caoxiang |
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Description: 分析了相位噪声对正交频分复用(OFDM)系统的影响,发现相位噪声不仅产生
通用相角错误(CPE),而且还会产生载波间干扰(ICI),这都使OFDM系统的性能急剧恶
化,因此必须对CPE和ICI进行校正.文中给出了基于MSE准则的CPE校正方法,考虑到
ICI干扰主要来源于相邻信道,进而提出了基于LMS法则的自适应相邻信道干扰消除方
法.整个算法简单高效.仿真结果表明,所提出的算法大大改善了OFDM系统的性能-Analysis of phase noise on the orthogonal frequency division multiplexing (OFDM) system, the impact of phase noise was found not only from the general phase angle error (CPE), but also generate inter-carrier interference (ICI), which are so dramatically the performance of OFDM system worse, it is necessary CPE and ICI correction. This paper gives guidelines for CPE-based MSE correction methods, taking into account ICI mainly come from the adjacent channel interference, then presents a rule-based LMS adaptive adjacent channel interference cancellation method. the algorithm is simple and efficient. The simulation results show that the proposed algorithm greatly improved the performance of OFDM systems
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Size: 44032 |
Author: sunkai |
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Description: ofdm信道估计的MSE性能比较,阐述了几种经典算法仿真性能的对比-MSE compare of OFDM estimation
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Size: 2048 |
Author: celia |
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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.
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Size: 729088 |
Author: loihuynh |
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Description: 仿真比较OFDM系统LS和MMSE信道估计算法的均方误差。-OFDM system simulation comparing LS and MMSE channel estimation algorithm for the mean square error.
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Size: 8192 |
Author: 韩宇辉 |
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Description: MSE OFDM is an adaptive OFDM system which was proposed earlier to meet the overwhelming needs of wireless communication system.we have proposed time slicing technique where cyclic prefix is replaced with pseudo random sequence.
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Size: 258048 |
Author: nila |
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Description: 一种新的符号定时和载波频率同步算法,该算法将OFDM符号分成几部分。它使用相关性和积累在几个OFDM
符号获得估计函数。当部分的长度小于ISI自由地区,该算法可以识别它。然后估计的最优符号定时和载波频率偏移可以获得。计算机仿真结果表明,该算法不仅可以跟踪时变信道变化但也有较小的MSE比ML估计算法。-A new symbol timing and carrier frequency synchronization algorithm is presented and the algorithm divides the OFDM symbol into several parts. It uses correlation and accumulation in several OFDM
symbols to acquire estimation function. When the length of part is smaller than that of ISI free region , the algorithm can distinguish it. Then the estimation of optimal symbol timing and carrier frequency offset can be acquired .The computer simulation results show that the proposed algorithm not only can track time varying channel change but also has smaller MSE than that of ML
estimation algorithm.
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Size: 276480 |
Author: wujueying |
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Description: wolf calculated Lyapunov exponent, Partially achieved tracking speed iterative relaxation algorithm, Minimum mean square error MSE calculation algorithm.
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Size: 6144 |
Author: mietenfunpan
|
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Description: 主要实现了接收天线数量和发送天线数量可配的mimo系统多用户检测，分别采用ML，MMSE，ZF检测方法，得到性能比较曲线。(The multi-user detection of mimo system with the number of receiving antennas and the number of transmitting antennas is mainly realized. The performance comparison curve is obtained by using ML, mse and ZF detection methods respectively.)
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Size: 57344 |
Author: 王家小丫头 |
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