Description: 研究用于自适应均衡器的LMS算法的性能，数据源产生有零平均和单位方差的由符号+1和-1组成的Bernoulli的序列{I(n)}.数据源之后的信道可以用升余弦脉冲响应来模拟。
-study for the adaptive equalizer LMS algorithm performance, Data Sources have zero mean and unit variance from the-1 and a symbol of the Bernoulli sequence (I ( n)). Data Source after the channel can be raised-cosine pulse response simulation. Platform: |
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Author:lee |
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Description: This project aim was to build wireless software modem for data communication
between two computers using an acoustic interface in the voice frequency range (20Hz–
20,000Hz). The transmitting antenna is a speaker (frequency response of: 90Hz –
20,000Hz) and the receiving antenna is a microphone (frequency response of: 100Hz –
16,000Hz). The test files used as information files were text files.
This goal was attained both in an incoherent scheme and in a coherent scheme.
Build under Matlab code, our modem uses OFDM (orthogonal frequency division
multiplexing) modulation, synchronization by LMS sequence, channel estimation (no
equalizer) via pilot tones. The symbols are either PSK or ASK for a constellation size of
2 or 4. To optimize the probability of error, these symbols were mapped using Gray
mapping.
Report-This project aim was to build wireless software modem for data communicationbetween two computers using an acoustic interface in the voice frequency range (20Hz-20000Hz). The transmitting antenna is a speaker (frequency response of: 90Hz-20000Hz) and the receiving antenna is a microphone (frequency response of: 100Hz-16000Hz). The test files used as information files were text files.This goal was attained both in an incoherent scheme and in a coherent scheme.Build under Matlab code, our modem uses OFDM ( orthogonal frequency divisionmultiplexing) modulation, synchronization by LMS sequence, channel estimation (noequalizer) via pilot tones. The symbols are either PSK or ASK for a constellation size of2 or 4. To optimize the probability of error, these symbols were mapped using Graymapping.Report Platform: |
Size: 559104 |
Author: |
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Description: 介绍了基于最小均方算法(LMS 算法) 的自适应均衡器的原理和结构,针对用硬件实现LMS
算法的自适应均衡器存在的诸多缺点,利用MATLAB 工具对各种结构形式的自适应均衡器在不同
信道模型下的收敛速度和精度进行仿真,并介绍了该仿真程序。-Introduction based on the least mean square algorithm (LMS algorithm) of the adaptive equalizer of the principles and structure, for hardware implementation using LMS adaptive equalizer algorithms exist many drawbacks, the use of MATLAB tools for a variety of structural forms of adaptive equalizer channel model in different convergence speed and accuracy of simulation, and introduction of the simulation program. Platform: |
Size: 191488 |
Author:宋 |
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Description: 主要是研究光纤通信系统中的克服PMD效应的电域均衡技术，构建电域均衡器的模型并进行仿真实验。找到补偿PMD效应的较理想的电域均衡器结构。-Is to study, fiber-optic communication systems to overcome the effects of PMD electrical domain equalization technology, building a power domain equalizer model and simulation experiments. PMD compensation effect to find a better balance of power domain structure. Platform: |
Size: 2048 |
Author:Lee |
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Description: This script runs a simulation loop for either a linear or a DFE equalizer. It
uses the RLS algorithm to initially set the weights, then uses LMS thereafter to minimize execution time. It plots the equalized signal spectrum, then generates and plots BER results over a range of Eb/No values. It also fits a curve to the simulated BER points, and plots the burst error performance of the linear and DFE equalizers. The adaptive equalizer objects automatically retain their state between invocations of their "equalize" method. Platform: |
Size: 2048 |
Author:熊牧野 |
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Description: 本程序是在MATLAB中对LMS均衡算法的通信仿真。-This procedure is in the MATLAB algorithm of LMS balanced communication simulation. Platform: |
Size: 4096 |
Author:冬冬 |
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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: |
Size: 3706880 |
Author:姜烨 |
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Description: 自适应均衡器的仿真程序：基于抽头系数，遗忘因子，噪声方差，初始化的延迟信号设计输入信号，利用LMS 算法建立自适应均衡器滤波信号。-Adaptive equalizer simulation program: based tap coefficients, forgetting factor, noise variance, the initialization of the input signal delayed signal design, the use of the LMS algorithm to establish adaptive equalizer filter signal. Platform: |
Size: 1024 |
Author:徐启敏 |
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