Near space high-altitude platform space-polarization diversity MIMO channel modeling method

Abstract

The invention belongs to the technical field of radio transmission, and discloses a near space high-altitude platform space-polarization diversity MIMO channel modeling method. The method comprises the steps of determining Loo channel parameters by utilizing a Markov state transfer model; calculating a polarization-space correlation coefficient by using channel measurement data and a theoretical model, and substituting the polarization-space correlation coefficient into a large / small-scale fading model simulated by the Loo model to generate the correlation; and combining large-scale fading andsmall-scale fading portions of each sub-channel to obtain a high-altitude platform space-polarization diversity MIMO channel model. Compared with the existing high-altitude platform MIMO channel model, the high-altitude platform space-polarization diversity MIMO channel model comprehensively considers advantages and disadvantages of the theoretical model and a measurement based scattering model,comprehensively evaluates influences imposed by the polarization correlation and spatial correlation on the channel model and can accurately describe large-scale and small-scale fading characteristicsunder the high-altitude platform environment and the correlation between the sub-channels.

Description

technical field [0001] The invention belongs to the technical field of radio transmission, and in particular relates to a space-polarization diversity MIMO channel modeling method for a near-space high-altitude platform. Background technique [0002] The current state of the art commonly used in the industry is this: the radio spectrum is a limited resource, and modern communication services require increasingly higher data rates and channel capacities. Therefore, the high-altitude platform communication system that combines the advantages of terrestrial and satellite communication systems is the most potential supplementary or alternative solution when deploying next-generation communication systems that require high capacity. Especially in the case of rapid emergency communication where ground base stations and network support are lost due to natural disasters such as earthquakes, the rapid deployment and reconstruction of large-capacity communication systems based on high...

AI Technical Summary

Problems solved by technology

There are still the following problems in the application of MIMO technology to high-altitude platform communication systems: (1) lack of channel models that can accurately describe the channel environment of high-altitude platforms; (2) high-altitude platform communication systems have line-of-sight environments, resulting in spatial correlation problems It cannot be ignored. Most of the existing research stays in theoretical research, and the research on the impact of correlation is not deep enough.

(3) The improvement of channel capacity brought by the existing single-dimensional diversity 2x2 MIMO channel model is not enough to compensate for the severe fading caused by shadow shadowing in low elevation angle areas

[0003] To sum up, the problems existing in the existing technology are: the description of the channel environment in the MIMO channel modeling of the existing high-altitude platform is inaccurate, the correlation is not considered, and the channel capacity is not enough to resist the problem of multipath shadow fading at low elevation angles. More effective diversity strategy to make up for the improvement

The difficulty lies in the fact that there is a line-of-sight path on the high-altitude platform, and there is a certain correlation between the sub-channels. At the same time, the application of space diversity and polarization diversity needs to consider the spatial correlation and polarization correlation of the sub-channels. The existing measurement data is only related to the 2x2 MIMO system. The coefficient matrix, to obtain the correlation coefficient matrix of the 4x4MIMO system must be reasonably expanded and derived

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