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 Platform: |
Size: 5120 |
Author:周洁 |
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Description: 是用matlab对信道估计得到的估计信道与真实信道的最小均方误差的仿真实现程序-Is used for channel estimation matlab been estimated channel true channel with minimum mean square error of the simulation procedure Platform: |
Size: 4096 |
Author:yangying |
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Description: 基于最小二乘法和最小均方误差法的信道估计，包括详细的仿真结果，如误码率和均方误差。-Based on the least squares and minimum mean square error of channel estimation methods, including detailed simulation results, such as error rate and MSE. Platform: |
Size: 6144 |
Author:xiaohan |
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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: This paper compares performance of nite impulse
response (FIR) adaptive linear equalizers based on the recursive least-squares (RLS) and least mean square(LMS) algorithms in nonstationary uncorrelated scattering wireless channels. Simulation results, in terms of steady-state
mean-square estimation error (MSE) and average bit-error rate (BER) metrics, are found for the frequency selective Rayleigh fading wireless channel experienced in a mobile ad hoc network where nodes are lognormally shadowed from each other. For the nonstationary channel models considered, RLS is always found to outperform LMS. Platform: |
Size: 844800 |
Author:almoudamer3 |
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Description: Abstract—In this paper, we study the joint estimation of inphase
and quadrature-phase (I/Q) imbalance, carrier frequency
offset (CFO), and channel response for multiple-input multipleoutput
(MIMO) orthogonal frequency division multiplexing
(OFDM) systems using training sequences. A new concept called
channel residual energy (CRE) is introduced. We show that by
minimizing the CRE, we can jointly estimate the I/Q imbalance
and CFO without knowing the channel response. The proposed
method needs only one OFDM block for training and the training
symbols can be arbitrary. Moreover when the training block
consists of two repeated sequences, a low complexity two-step
approach is proposed to solve the joint estimation problem.
Simulation results show that the mean-squared error (MSE) of
the proposed method is close to the Cramer-Rao bound (CRB).
Index Terms—MIMO OFDM, CFO, I/Q imbalance, channel
estimation. Platform: |
Size: 551936 |
Author:santhu |
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Description: Abstract—In this paper, we study the joint estimation of inphase
and quadrature-phase (I/Q) imbalance, carrier frequency
offset (CFO), and channel response for multiple-input multipleoutput
(MIMO) orthogonal frequency division multiplexing
(OFDM) systems using training sequences. A new concept called
channel residual energy (CRE) is introduced. We show that by
minimizing the CRE, we can jointly estimate the I/Q imbalance
and CFO without knowing the channel response. The proposed
method needs only one OFDM block for training and the training
symbols can be arbitrary. Moreover when the training block
consists of two repeated sequences, a low complexity two-step
approach is proposed to solve the joint estimation problem.
Simulation results show that the mean-squared error (MSE) of
the proposed method is close to the Cramer-Rao bound (CRB).
Index Terms—MIMO OFDM, CFO, I/Q imbalance, channel
estimation. Platform: |
Size: 277504 |
Author:santhu |
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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. Platform: |
Size: 276480 |
Author:wujueying |
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Description: A dynamic estimation of channel is necessary before the transmission of the signals since the wireless channel is time–varying..we use MMSE method for channel estimation. The MMSE method calculates the following, MMSE channel estimator is designed to minimize the estimation MSE. The MMSE estimate the channel responses.-A dynamic estimation of channel is necessary before the transmission of the signals since the wireless channel is time–varying..we use MMSE method for channel estimation. The MMSE method calculates the following, MMSE channel estimator is designed to minimize the estimation MSE. The MMSE estimate the channel responses. Platform: |
Size: 267264 |
Author:yuva |
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Description: this m.file produces channel coefficient with some error, in which the estimation error follows a random variable with zero mean and variance of MSE.
lat is the latitude of BS places at different cells which is used to determine the number of BSs in the networks Platform: |
Size: 1024 |
Author:mohammad |
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Description: This matlab code provides a MSE of channel estimation for different values of channel length and comparing with a cyclic prefix length. Platform: |
Size: 3072 |
Author:Med |
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Description: 用谱方法计算流体力学一些流动现象的整体稳定性,有信道编码，调制，信道估计等，最小均方误差等算法的MSE的计算。- Spectral methods of computational fluid dynamics flow of some of the overall stability of the phenomenon, Channel coding, modulation, channel estimation, Minimum mean square error MSE calculation algorithm. Platform: |
Size: 6144 |
Author:李红银 |
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Description: 对LTE中信道估计算法的仿真,包括LS，MMSE，LMMSE等(Simulation of the LTE channel estimation algorithm, including LS, MMSE, LMMSE and so on) Platform: |
Size: 120832 |
Author:八戒Cba |
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Description: 该程序能够较好的仿真出Missive MIMO系统下 信道估计的误码率，及还
有部分的MSE代码，可以供大家参考一下！(This program can better simulate the error rate of channel estimation under Missive MIMO system, and also There are some MSE code that you can refer to!) Platform: |
Size: 4096 |
Author:浅若夏沫 |
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Search - mse of channel estimation