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In this program, several statistical fading channel simulators using the Sum-of-Sinusoids (SoS)has been implemented.A Rayleigh fading channel impulse respose using jakes model has been generated in matlab -In this program, several statistical fading channel simulators using the Sum-of-Sinusoids (SoS)has been implemented.A Rayleigh fading channel impulse respose using jakes model has been generated in matlab
Update : 2025-02-17 Size : 4kb Publisher : ria

通过MATLAB软件;通过仿真得出性能曲线;从而比较bpsk的性能-The bit-error rate (BER) of binary phase-shift keying in Rayleigh fading, using the Alamouti transmission scheme and receiver selection diversity in the presence of channel-estimation error, is studied. Closed-form expressions for the BER of log-likelihood ratio selection, signal-to-noise ratio (SNR) selection, switchand- stay combining selection, and maximum ratio combining are derived in terms of the SNR and the cross-correlation coefficient of the channel gain and its corrupted estimate. Two new selection schemes, space–time sum-of-squares combining selection diversity and space–time sum-of-magnitudes selection diversity, are proposed and proven to provide almost the same performance as SNR selection, but with much simpler implementations. The effects of channel-
Update : 2025-02-17 Size : 333kb Publisher : 刘小洋

Sum of Sinusoids method for Rayleigh fading
Update : 2025-02-17 Size : 1kb Publisher : 陳韋豪

This file contains a MATLAB function to generate rayleigh Fading samples based on Clarke s model (known as sum of sinusoids method)
Update : 2025-02-17 Size : 915kb Publisher : daly

Rayleigh fading channel based on the Filtered Gaussian Noise method and r based on the Sum of Sinusoids method-simulation for Rayleigh fading channel -Plot the channel output for fm T = 0.01, 0.1 and 0.5 (t/T = 0 ~ 300) – Plot the channel output autocorrelation for fm T = 0.01, 0.1 and 1.0 (fm  = 0 ~ 10)
Update : 2025-02-17 Size : 1kb Publisher : yumg jei

Rayleigh fading is a statistical model for the effect of a propagation environment on a radio signal, such as that used by wireless devices. Rayleigh fading models assume that the magnitude of a signal that has passed through such a transmission medium (also called a communications channel) will vary randomly, or fade, according to a Rayleigh distribution — the radial component of the sum of two uncorrelated Gaussian random variables. Rayleigh fading is viewed as a reasonable model for tropospheric and ionospheric signal propagation as well as the effect of heavily built-up urban environments on radio signals.[1][2] Rayleigh fading is most applicable when there is no dominant propagation along a line of sight between the transmitter and receiver. If there is a dominant line of sight, Rician
Update : 2025-02-17 Size : 9kb Publisher : rajendra
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