Wireless channel attenuation model fitting method based on a quantum sea squirt group

Abstract

The invention relates to a wireless channel attenuation model fitting method based on a quantum sea squirt group. The wireless channel attenuation model fitting method specifically comprises the following steps: setting the parameters of the Nakagami-m distribution and obtain an accurate data set of the Nakagami-m inverse cumulative distribution; initializing the quantum position and position of the sea squirt group;; carrying out fitness evaluation on all sea squirt positions, and determining the quantum position and position of the food; updating the quantum rotation angle, the quantum position and the position of the selected sea squirt in sequence according to the first strategy or the second strategy; Sequentially updating the quantum rotation angle, the quantum position and the position of the selected sea squirt according to a third strategy; Carrying out fitness evaluation on all sea squirt positions, and updating the quantum position and position of the food; Wherein the finally output food position is the optimal coefficient of the fitting equation, and obtaining the Nakagami-. And m is an optimal fitting equation of the inverse cumulative distribution function. The method has the advantages of higher fitting precision, higher fitting speed and wider application range.

Description

technical field [0001] The invention relates to a wireless channel attenuation model fitting method, in particular to a wireless channel attenuation model fitting method based on quantum sea squirt groups, and relates to the field of wireless communication. Background technique [0002] In wireless communication, the attenuation of signal is an important reason that affects the quality of communication system, so the simulation of signal attenuation is an extremely important part in the simulation and theoretical analysis of communication system. Since the reasons affecting signal attenuation are different in different scenarios, the statistical distribution models used to simulate signal attenuation in different scenarios are also different. The commonly used distribution models include unilateral Gaussian distribution, Rice distribution and Ray profit distribution, etc. However, with the in-depth research of many scholars, it is found that the Nakagami-m distribution can ...

AI Technical Summary

Problems solved by technology

At the same time, because the existing fitting methods such as genetic algorithm, artificial bee colony optimization and backtracking search methods have different degrees of slow convergence speed and low optimization accuracy, a new intelligent method of sea squirt swarm intelligence is considered. Combining quantum computing to obtain the dual advantages of the two, greatly improving the optimization speed, so as to solve the Nakagami-m inverse cumulative distribution more efficiently

Images