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用jakes模型编写瑞利衰落多径信道的仿真报告,包括实验原理,代码,仿真结果,以及实验分析。-Jakes model with the preparation of multi-path Rayleigh fading channel simulation, including experimental principle, code, simulation results and experimental analysis.
Update : 2025-02-17 Size : 276kb Publisher : lilyzou

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.
Update : 2025-02-17 Size : 2kb Publisher : Manzar Hussain
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