Time Domain Autocorrelation Nakagami-m Fading Complex Channel Simulation Method

Abstract

The invention discloses a time domain self-correlation Nakagami-m fading complex channel simulation method, which comprises the steps of: firstly, carrying out independent simulation on envelope distribution, so that a probability density function and a cumulative distribution function of envelopes are consistent with theoretical values; secondly, carrying out independent simulation on phase distribution, so that statistical indexes of a probability density function and a cumulative distribution function of phases are consistent with theoretical values; then ranking an envelope sequence and a phase sequence, so that a self-correlation function and a power spectral density are consistent with theoretical values; and finally, superposing the ranked envelope sequence and phase sequence to obtain a time domain self-correlation Nakagami-m fading complex channel random sequence satisfying all simulation performance evaluation statistics. The time domain self-correlation Nakagami-m fading complex channel simulation method realizes good self-correlation characteristic fading simulation and fast fading simulation of a time domain self-correlation Nakagami-m fading complex channel, has good extensibility, and brings convenience for subsequent adoption of a more efficient module simulation algorithm.

Description

technical field [0001] The invention belongs to the technical field of wireless communication channel modeling and simulation, in particular to a time-domain autocorrelation Nakagami-m fading complex channel simulation method. Background technique [0002] In the wireless mobile communication environment, Nakagami-m fading can characterize small-scale fading better and more widely than traditional Rayleigh distribution or Rice distribution. Nakagami-m fading is obtained by fitting the experimental data with the density function of the variable parameter gamma distribution, and its main parameters are the shape factor m and the average power Ω of the received signal. By changing the shape factor m, the channel environment from severe, moderate, slight to no fading can be simulated, including Rayleigh distribution and Rice distribution. Time-domain autocorrelation channel simulation needs to consider the correlation characteristics of the channel, and pay attention to the pro...

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Problems solved by technology

[0003] The purpose of the present invention is to provide a time-domain autocorrelation Nakagami-m fading complex channel simulation method, aiming to solve the problem that the existing simulation method cannot satisfy the first-order statistical characteristic probability density distribution, cumulative distribution function and second-order statistical statistics at the same time Problems with characteristic level pass rate, average fading time, and time-domain autocorrelation function

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