Description: 关于自适应滤波的一系列程序，包括二进制信道均衡，噪声对消，信号增强等，斑竹，该加精了吧？-adaptive filter on a series of procedures, including binary channel equalization and noise cancellation and signal enhancement, fed, the rate is honed? Platform: |
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Author:gjd |
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Description: 在信道均衡运用中，将发送的受信道失真影响的原始信号作为自适应滤波器的输入信号，可期望信号是原始信号的时延形式，如图22（a）所示。通常情况下，输入信号的时延形式在接收端是可以得到的，采用形式是标准的训练信号。当MSE达到最小时，就表明自适应滤波器代表了信道的逆模型（均衡器）。-In the use of channel equalization, will be sent by the effects of channel distortion signal as the original adaptive filter input signal, can expect signal is the original signal delay form, Figure 22 (a) as shown. Under normal circumstances, the input signal at the receiving end delay form is accessible, using the form of training is a standard signal. When the MSE to achieve the best hours, show that the adaptive filter on the channel represents the inverse model (EQ). Platform: |
Size: 3072 |
Author:闫丰 |
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Description: LMS自适应信道均衡程序以及学习曲线绘制，程序为matlab代码。-LMS adaptive channel equalization process and the learning curve drawing, procedures for the matlab code. Platform: |
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Author:游月辉 |
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Description: 均衡技术是克服码间干扰(Inter-Symbol Interference,ISI)的有效措施,由于信道特性的随机性与时变性,实际中消除码间干扰最常用的是自适应均衡器。本文对基于最小均方(Least Mean Squares,LMS)算法和递推最小二乘(Recursive Least Squares,RLS)算法的自适应均衡器进行仿真研究,分析了信道特性与设计参数对自适应均衡器的收敛速度与稳态性能的影响。
-Equalization technique is to overcome inter-symbol interference (Inter-Symbol Interference, ISI) and effective measures, due to the randomness of the channel characteristics with the variability in practice to eliminate inter-symbol interference is the most commonly used adaptive equalizer. In this paper, based on minimum mean-square (Least Mean Squares, LMS) algorithm and recursive least squares (Recursive Least Squares, RLS) algorithm is adaptive equalizer simulation studies to analyze the channel characteristics and design parameters of the adaptive equalizer convergence speed and steady-state performance. Platform: |
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Author:xieliwei |
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Description: 。本文研究了SC-FDE系统中的最小均方误差判决反馈
均衡（MMSE-DFE）和基于LMS准则的自适应均衡算法，
MATLAB仿真表明，由于LMS自适应均衡算法能有效的跟
踪信道变化并更新均衡器的抽头系数，其性能略优于最小
均方误差判决反馈均衡算法。-. In this paper, the SC-FDE system, the minimum mean square error decision feedback
Equalization (MMSE-DFE) and criteria based on LMS adaptive equalization algorithms
MATLAB simulation results show that LMS adaptive equalization algorithm as effective with
Track changes and update the channel equalizer tap coefficients, its performance slightly better than the minimum
Mean square error decision feedback equalization algorithm. Platform: |
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Author:姜烨 |
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Description: 给出了三个离散时间信道，分别在matlab中仿真了其频谱特性，可以作为自适应均衡算法的基础-Given three discrete-time channel in matlab simulation of the spectral characteristics can be used as the basis of adaptive equalization Platform: |
Size: 1024 |
Author:sjtu |
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Description: 信道均衡的MATLAB程例，是一个很好的例子，对于做通信信道仿真研究的就有较高的参考和使用价值。(In this example we have a typical channel equalization scenario. We want
to estimate the transmitted sequence with 4-QAM symbols. In
order to accomplish this task we use an adaptive filter with N coefficients
The procedure is:
1) Apply the originally transmitted signal distorted by the channel plus
environment noise as the input signal to an adaptive filter.
In this case, the transmitted signal is a random sequence with 4-QAM
symbols and unit variance. The channel is a multipath complex-valued
channel whose impulse response is h = [1.1+j*0.5, 0.1-j*0.3, -0.2-j*0.1]^T
In addition, the environment noise is AWGN with zero mean and
variance 10^(-2.5).
2) Choose an adaptive filtering algorithm to govern the rules of coefficient
updating.) Platform: |
Size: 1024 |
Author:ZJL0110
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