Description: This code implies the improved Jakes Method( Y. R. Zheng and C. Xiao, Improved models for the generation of
multiple uncorrelated Rayleigh fading waveforms, IEEE
Comm. Lett., vol. 6, no. 6, pp. 256-258 (2002) ) to simulate Rayleigh fading -This code implies the improved Jakes Method( Y. R. Zheng and C. Xiao, Improved models for the generation of
multiple uncorrelated Rayleigh fading waveforms, IEEE
Comm. Lett., vol. 6, no. 6, pp. 256-258 (2002) ) to simulate Rayleigh fading Platform: |
Size: 1024 |
Author:Ali |
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Description: This Matlab Code models a Rayleigh fading channel using a modified Jakes channel model.
A modified Jakes model chooses slightly different spacings for the scatterers and scales their waveforms using Walsh–Hadamard sequences to ensure zero cross-correlation.
\alpha_n = \frac{\pi(n-0.5)}{2M} and \beta_n = \frac{\pi n}{M},
results in the following model, usually termed the Dent model or the modified Jakes model:
R(t,k) = \sqrt{\frac{2}{M}} \sum_{n=1}^{M} A_k(n)\left( \cos{\beta_n} + j\sin{\beta_n} \right)\cos{\left(2\pi f_d t \cos{\alpha_n} + \theta_{n}\right)}.
The weighting functions A_k(n) are the kth Walsh–Hadamard sequence in n. Since these have zero cross-correlation by design, this model results in uncorrelated waveforms. The phases \,\!\theta_{n} are initialized randomly and have no effect on the correlation properties. Matlab fast Walsh-Hadamard transform function is used to efficiently generate samples using this model.-This Matlab Code models a Rayleigh fading channel using a modified Jakes channel model.
A modified Jakes model chooses slightly different spacings for the scatterers and scales their waveforms using Walsh–Hadamard sequences to ensure zero cross-correlation.
\alpha_n = \frac{\pi(n-0.5)}{2M} and \beta_n = \frac{\pi n}{M},
results in the following model, usually termed the Dent model or the modified Jakes model:
R(t,k) = \sqrt{\frac{2}{M}} \sum_{n=1}^{M} A_k(n)\left( \cos{\beta_n} + j\sin{\beta_n} \right)\cos{\left(2\pi f_d t \cos{\alpha_n} + \theta_{n}\right)}.
The weighting functions A_k(n) are the kth Walsh–Hadamard sequence in n. Since these have zero cross-correlation by design, this model results in uncorrelated waveforms. The phases \,\!\theta_{n} are initialized randomly and have no effect on the correlation properties. Matlab fast Walsh-Hadamard transform function is used to efficiently generate samples using this model. Platform: |
Size: 2048 |
Author:Manzar Hussain |
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