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Weight method-based generation method of complex Nakagami-m fading random sequences

A complex random sequence and random sequence technology, applied in the field of Nakagami-m complex fading random sequence generation, can solve the problems of low precision, slow simulation speed, low efficiency, etc., to achieve the effect of great versatility and avoid errors

Inactive Publication Date: 2015-09-02
XIDIAN UNIV
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Problems solved by technology

The combination method is a simple fitting model with fast simulation speed, but the error is large, especially when the value of m is not within its applicable range, the simulation result is almost completely inconsistent with the theoretical value
The inverse transformation model has poor practicability and low accuracy, because solving the inverse function of the Nakagami-m cumulative distribution function is very complicated and requires a fitting search of coefficients
The discarding method has high precision, but the selection of the discarding hat function is complicated, the simulation speed is slow, and the efficiency is low

Method used

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  • Weight method-based generation method of complex Nakagami-m fading random sequences
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  • Weight method-based generation method of complex Nakagami-m fading random sequences

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Embodiment Construction

[0032] The present invention will be described in detail below in conjunction with specific embodiments. Now for given m=4, the Nakagami-m fading complex fading distribution simulation when Ω=1, the specific implementation scheme of the process of the present invention is as follows:

[0033] Please refer to figure 1 and figure 2 .

[0034] S1 According to the Nakagami-m fading magnitude fading distribution function, the weight method is used to generate the magnitude random sequence R[K] and the phase random sequence θ[K], K=10 5 ; Among them, generating the amplitude random sequence R[K] and the phase random sequence θ[K] are two parallel steps, first generating the amplitude random sequence or first generating the phase random sequence.

[0035] Said step S1 includes,

[0036] S1.1 For a given Nakagami-m amplitude probability density function f R (r) Uniform sampling on the domain [a,b] to get N=10 5 Point Domain Sampling Sequence X R [N], where X R (i)=a+(b-a / N)*i, ...

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Abstract

A weight method-based generation method of complex Nakagami-m fading random sequences includes: according to Nakagami-m fading amplitude and a phase fading distribution function, generating an amplitude random sequence and a phase random sequence by the weight method, and generating a complex random sequence via the amplitude random sequence and the phase random sequence. The method has the advantages that time efficiency and simulation precision are gained via low spatial complexity, generation is achieved by adjusting the number of sample value sampling points and the number of target sequence points according to the need for actual simulation, errors caused by interpolation by the other methods having high precision demands can be avoided, the method is available for the actual simulation of generation of random sequences of any distribution functions having analytical expressions, and the method is of high universality.

Description

technical field [0001] The invention belongs to the field of wireless communication channel modeling and simulation. Specifically, the invention relates to a method for generating random sequences aimed at Nakagami-m complex fading. 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. It can simulate channel environments from severe, moderate, slight to no fading, including Rayleigh distribution and Rice distribution. [0003] At present, the simulation of Nakagami-m fading is mainly for the simulation of its envelope distribution, mainly including the inverse transformation method, discarding method and combination method; there are few simulation methods for Nakagami-m fading p...

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Application Information

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IPC IPC(8): G06F7/58
Inventor 石磊赵蕾郭振刘彦明李小平
Owner XIDIAN UNIV
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