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Statistical channel modeling method based on multi-antenna mimo 3D hollow ellipsoid

A channel modeling, multi-antenna technology, applied in diversity/multi-antenna system, wireless communication, space transmit diversity and other directions, can solve the problem of lack of spatial statistics channel simulation and so on

Active Publication Date: 2017-01-25
NANJING UNIV OF INFORMATION SCI & TECH
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Problems solved by technology

The correlation between array elements mainly depends on the angular spread of the incident signal, but the distribution of the angle of arrival (AOA: angle of arrival) of the incident signal in the existing channel model is uniform distribution, Gaussian distribution and Laplace distribution, lack of real Spatial Statistical Channel Simulation of

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  • Statistical channel modeling method based on multi-antenna mimo 3D hollow ellipsoid
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  • Statistical channel modeling method based on multi-antenna mimo 3D hollow ellipsoid

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[0090] The technical solutions provided by the present invention will be described in detail below in conjunction with specific examples. It should be understood that the following specific embodiments are only used to illustrate the present invention and are not intended to limit the scope of the present invention.

[0091] The statistical channel modeling method provided by the present invention needs to establish a 3D hollow ellipsoidal channel model, which specifically includes the following steps:

[0092] Step 1: Create as figure 1 The model of the multi-antenna MIMO 3D hollow ellipsoid statistical channel shown includes the base station and the mobile station. With the mobile station MS as the center and the mobile station MS as the origin, a three-dimensional coordinate system and a hollow ellipsoid model are established, assuming that all scattering The volume is concentrated in the whole ellipsoid, assuming that there is no scatterer around the mobile station MS, we ...

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Abstract

The invention discloses a statistic channel modeling method based on a multi-antenna MIMO 3D hollow ellipsoid. The method comprises the steps of establishing a hollow ellipsoid statistic channel model, calculating the AOA possibility density function of the a azimuth angle and the pitch angle of a 3D hollow ellipsoid moving table end, calculating the AOA probability density function of the azimuth angle and the pitch angle of a base station end, and calculating the probability density function of doppler frequency shift (DS). A multi-antenna MIMO 3D space domain channel model is established, so that the mobile communication environments of macrocells and microcells can be estimated more accurately, flexibly and conveniently, the accuracy of estimation of electromagnetic signal wave angle of arrival (AOA), time of arrival (TOA), Doppler of shift (DS) and other channel parameter estimation can be improved, and the research and the application of space statistic channel models are expanded.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and in particular relates to a statistical channel modeling method based on a multi-antenna MIMO 3D hollow ellipsoid. Background technique [0002] In recent years, there have been more and more researches on MIMO (multiple-input multiple-output) systems in wireless communication. Establishing a wireless channel model that can accurately describe channel multipath effects plays an important role in the study of wireless mobile communication systems. [0003] In view of the accuracy of the 3D spatial domain channel model in describing the signal of arrival, some researchers have proposed 3D spatial models, which are more in line with the actual mobile communication environment. K.B. Baltzis proposed a 3D channel model. The base station BS has a certain height above the ground, and the scatterer distribution space is a circular area in a 2-D plane space. This model more accurately fi...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W16/22H04B7/04
Inventor 周杰曹志钢
Owner NANJING UNIV OF INFORMATION SCI & TECH
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