Intelligent optimization method for realizing multi-antenna position optimization configuration of mobile terminal

Abstract

The invention discloses an intelligent optimization method for realizing multi-antenna position optimization configuration of a mobile terminal. System channel capacity ( ) is used as a system performance optimizing index, the antenna position of the mobile terminal is optimized through a particle swarm intelligent optimization algorithm, an optimal solution is obtained, and the obtained optimal solution is the optimum distribution position of mobile terminal antennas. According to the intelligent optimization method, the intelligent algorithm is applied to the DMIMO transmit-receive system mobile terminal, the antenna position of the mobile terminal is optimized, the performance of a current communication system can be well improved, the capacity performance of the current system can be well improved through the obtained mobile terminal optimal antenna distribution, requirements of communication services are met, and a reference is provided for the design of antenna distribution of the mobile terminal in the future.

Description

technical field [0001] The invention relates to an intelligent optimization method for realizing optimal configuration of multiple antenna positions of a mobile terminal, which belongs to the field of wireless communication. Background technique [0002] With the rapid development of mobile communication technology and the increasing shortage of available spectrum resources, this contradiction has become increasingly prominent. How to improve the rate and reliability of information transmission as much as possible on the existing limited frequency band resources has become an increasingly important issue in the field of mobile communication. A research topic of interest. In 1994, punlraj et al. proposed the multiple-input multiple-output (MIMO) concept, that is, at the transmitting end and receiving end of the wireless communication system, multiple antennas are used to simultaneously send and receive signals to increase the capacity and transmission quality of the wireless ...

AI Technical Summary

Problems solved by technology

[0004] Although the introduction of MIMO technology has brought hope to solve the limited spectrum resources today, it also brings some new challenges

Especially when the mobile terminal wants to adopt multi-antenna MIMO technology to maximize the advantages of the MIMO system, due to the development trend of the miniaturization and portability of the mobile terminal, its size is strictly limited. After the root antenna is installed, it will inevitably lead to an extremely shortened distance between the antennas, and then there will be serious signal spatial correlation and electromagnetic interference between signals between the elements of the receiving antenna, which is the so-called mutual coupling effect, thus affecting the overall capacity of the system. performance

Some existing qualitative numerical simulation research results show that the system capacity is closely related to the number of antennas and the spacing between antenna arrays in mobile terminals with strictly limited size, but the existing results are still lacking from a certain At the theoretical level, when a given size-constrained mobile terminal adopts MIMO multi-antenna technology, how to optimize the optimal position of these terminal antennas to maximize the channel capacity or transmission quality of the system

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