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: 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: 自适应均衡器的LMS算法实现及其仿真 :自适应均衡器已广泛应用于通信、雷达、声纳、控制和生物医学工程等许多领域,为克服多径衰落和信道失真引起的的码间干扰,实时跟踪移动通信信道的时变特性,笔者设计了一个基于LMS 算法的自适应线性均衡器,并通过改变步长因子Δ来分析其收敛速度和均方误差特性.
-Adaptive equalizer LMS algorithm and its simulation: adaptive equalizer has been widely used in communications, radar, sonar, control, and in many areas of biomedical engineering, to overcome multipath fading and channel distortion caused by the inter-symbol interference real-time tracking of mobile communication channel when varying characteristics, the author designed the adaptive linear equalizer based on the LMS algorithm to analyze the convergence rate and mean square error characteristics, and by changing the step size factor Δ. Platform: |
Size: 306176 |
Author:wanynall |
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Search - lms in fading channel