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Large scale MIMO channel simulation apparatus under time evolution and simulation method thereof

A channel simulation and time evolution technology, applied in transmission monitoring, electrical components, transmission systems, etc., can solve problems such as MIMO sub-channel processing resource limitations, hardware connection resource limitations, etc., and achieve the effect of solving signal synchronization problems

Active Publication Date: 2016-10-26
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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AI Technical Summary

Problems solved by technology

However, when the number of antennas is very large, it is necessary to solve M T × M R Processing Resource Limitation of MIMO Subchannels in Hardware Implementation
On the other hand, the data interaction between sub-channels will lead to more serious connection resource limitations of the hardware

Method used

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  • Large scale MIMO channel simulation apparatus under time evolution and simulation method thereof
  • Large scale MIMO channel simulation apparatus under time evolution and simulation method thereof
  • Large scale MIMO channel simulation apparatus under time evolution and simulation method thereof

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Embodiment Construction

[0037] Consider a configuration M T transmit antennas and M R A MIMO system with multiple receiving antennas (such as figure 1 shown), the channel input-output relationship is

[0038] y(t)=H(τ,t)*x(t)+n(t) (1)

[0039] in, is the transmit signal vector; is the channel noise vector; is the received signal vector; assuming that the number of multipath clusters of each subchannel is L, the MIMO channel model can be expressed as

[0040]

[0041] Among them, h i,j (τ,t) represents the impulse response between the j-th transmit antenna and the i-th receive antenna, τ l Indicates the time delay of the lth path, and L indicates the number of discretized multipath clusters.

[0042] For the above-mentioned MIMO channel model, traditional simulator hardware implementation methods include two types: pre-stored and real-time. Among them, the pre-stored generation algorithm has a large storage capacity and is difficult to support time-varying dynamic scenes; the real-time g...

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Abstract

The invention discloses a large scale MIMO channel simulation apparatus under time evolution. According to the invention, a user inputs communication scenario parameters to a master control PC subsystem, and a parameter computing unit computes fading factors of each MIMO sub-channel. A channel fading matrix is separately transmitted to a channel fading RAM of each channel simulation unit. A channel input signal undergoes a signal decomposition unit of a signal decomposition sub-system to obtain a plurality group of simulation signals. The simulation signals undergo an AD conversion unit of a signal processing sub-system and convert to digital signals, and the digital signals are transmitted to the channel simulation units, and at the same time a filter RAM is read through different sampling rates to obtain MIMO channel fading under time evolution. The channel simulation units conduct multiplication, adding and outputting on the digital signals and the channel fading. Each component of a channel output signal undergoes the AD conversion unit of the signal processing sub-system, is connected to a signal synthesizing sub-system, and then undergoes a noise superposing unit to obtain a final channel output signal.

Description

Technical field: [0001] The invention relates to a time-evolving large-scale MIMO channel simulation device and a simulation method thereof, belonging to the field of wireless information transmission, and in particular to a large-scale MIMO channel simulation method under a dynamic time-evolution propagation scenario. Background technique: [0002] Wireless communication has become an indispensable part of people's daily life, and the wireless communication system must consider the influence of the wireless propagation environment no matter in the design and development stage, or in the planning and deployment of communication networks. For example, radio wave signals are affected by terrain, landform, and transmission distance during propagation, and there is path loss, and multipath fading will also occur due to factors such as reflection, scattering, and diffraction. At the same time, the movement of the transceiver end causes the Doppler frequency shift of the radio sig...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B17/00H04B17/391
CPCH04B17/0087H04B17/3911
Inventor 朱秋明李浩刘星麟胡续俊陈小敏杨志强毛开
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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