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: 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: 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: |
Size: 1024 |
Author:xieliwei |
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Description: Inter-symbol interference if not taken care off may
cause severe error at the receiver and the detection of signal becomes
difficult. An adaptive equalizer employing Recursive Least Squares
algorithm can be a good compensation for the ISI problem. In this
paper performance of communication link in presence of Least Mean
Square and Recursive Least Squares equalizer algorithm is analyzed.
A Model of communication system having Quadrature amplitude
modulation and Rician fading channel is implemented using
MATLAB communication block set. Bit error rate and number of
errors is evaluated for RLS and LMS equalizer algorithm, due to
change in Signal to Noise Ratio (SNR) and fading component gain in
Rician fading Channel. Platform: |
Size: 400384 |
Author:pravin jadhav |
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Description: 项目采用matlab对强迫零均衡器、最小均方误差均衡器、自适应线性均衡器进行了编程实现，并给出了计算机的仿真结果以及对仿真结果的分析，最后，给出递归最小二乘准则下的均衡器仿真予以比较。-Forced to zero on the project using matlab equalizer, minimum mean square error equalizer, adaptive linear equalizer is programmed to achieve, and gives the computer simulation results and analysis of simulation results, Finally, the recursive least squares Simulation criterion to be relatively balanced. Platform: |
Size: 8192 |
Author:gaoliangy |
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Description: This contribution considers semi-blind adaptive equalization for communication systems that employ high-throughput quadrature
amplitude modulation signalling. A minimum number of training symbols, approximately equal to the dimension
of the equalizer, are first utilized to provide a rough initial least-squares estimate of the equalizer’s weight vector. A
novel gradient-Newton concurrent constant modulus algorithm and soft decision-directed scheme are then applied to adapt
the equalizer. The proposed semi-blind adaptive algorithm is capable of converging fast and accurately to the optimal
minimum mean-square error equalization solution. Simulation results obtained demonstrate that the convergence speed of this
semi-blind adaptive algorithm is close to that of the training-based recursive least-square algorithm Platform: |
Size: 185344 |
Author:yh |
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Description: 介绍了一种基于最小均方算法(LMS 算法) 的自适应均衡器的原理与结构，针对用硬件实现LMS算法的自适应均衡器存在的诸多缺点，运运用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与与精度进行仿真，并介绍了该仿真程序源码。 可直接使用。
-Based on the principle and the structure of the adaptive equalizer in the least mean square algorithm (LMS algorithm) for the many shortcomings in the hardware implementation of the LMS algorithm adaptive equalizer, operation and use of MATLAB tool on various structural forms of self- adapt the equalizer convergence rate under different channel models and the accuracy of the simulation, the simulation program source code. Can be used directly. Platform: |
Size: 191488 |
Author:despise |
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Description: 在Labview平台上利用线性最小二乘算法，实现线性均衡器的设计-By using the linear least square algorithm in Labview platform, design and implementation of a linear equalizer Platform: |
Size: 1375232 |
Author:余薇薇 |
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Search - Least square equalizer