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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: 2063 |
Author: 熊牧野 |
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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: THis transceiver system simulation to display ber vs SNR. TRansceiver is about BER comparison between LMS-RLS and MLSE receiver to invers the rayleigh fading channel. The content of system is modulation, pilot adder, awgn and rayleigh fading channel, pilot removal and channel estimation and equalization by 3 method (LMS-MLSE-RLS) and demodulation.-THis is transceiver system simulation to display ber vs SNR. TRansceiver is about BER comparison between LMS-RLS and MLSE receiver to invers the rayleigh fading channel. The content of system is modulation, pilot adder, awgn and rayleigh fading channel, pilot removal and channel estimation and equalization by 3 method (LMS-MLSE-RLS) and demodulation.
Platform: |
Size: 126976 |
Author: gelar |
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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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