文件名称:Modeling-Rayleigh-fading-channel-based-on-modifie
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- matlab例程
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- [Matlab] [源码]
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- 2015-03-10
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- 2kb
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- Manzar *******
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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.
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.
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下载文件列表
Modeling Rayleigh fading channel based on modified Jakes channel model\Channel_Rayleigh.m
......................................................................\modified_rayleigh_fading.m
......................................................................\walsh_hadamard.m
Modeling Rayleigh fading channel based on modified Jakes channel model