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Large-scale multiple-input multiple-out(MIMO) detection method and device based on adaptive damping Jacobi iteration

A detection method and a technology of a detection device, which are applied in space emission diversity, transmission systems, electrical components, etc., can solve problems such as unfavorable parallel implementation and a large number of iterations, and achieve the effects of accelerating the convergence speed, reducing the number of iterations, and good BER performance

Active Publication Date: 2019-03-26
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

Although the traditional Richardson iteration and Jacobi iteration can achieve detection performance similar to that of MMSE, they require a large number of iterations
Although GS and SOR require fewer iterations, they need to invert a tridiagonal matrix and are not conducive to parallel implementation.

Method used

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  • Large-scale multiple-input multiple-out(MIMO) detection method and device based on adaptive damping Jacobi iteration
  • Large-scale multiple-input multiple-out(MIMO) detection method and device based on adaptive damping Jacobi iteration
  • Large-scale multiple-input multiple-out(MIMO) detection method and device based on adaptive damping Jacobi iteration

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Embodiment Construction

[0034] The technical solution of the present invention will be described in detail below with reference to the drawings and specific embodiments.

[0035] Taking the above uplink as an example, consider a massive MIMO system with M transmitting antennas and N receiving antennas configured at the user end, where M<<N. Generally speaking, we can simplify this MIMO communication system into the following mathematical model:

[0036] y=Hx+n,

[0037] Where y is the received signal vector, x is the transmitted signal vector, H is the channel matrix, and n is the additive Gaussian noise vector. Simply put, the purpose of signal detection is to estimate the transmitted signal x using the received signal y, the channel matrix H, and the noise n. The current commonly used linear detection algorithm-MMSE, its core idea is to perform a linear transformation on the above formula, and then obtain the estimated value of the transmitted signal x:

[0038]

[0039] Where y MF Called receiving signa...

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Abstract

The invention discloses a large-scale MIMO detection method and device based on an adaptive damping Jacobi iteration, which can overcome the problem that because of large-scale application of MIMO technology in 5G communication system, excessive computational complexity of minimum mean square error(MMSE) detection brings great technical difficulty to specific hardware implementation and circuit system design. The method provided by the invention uses a damping Jacobi iterative method to approximate a large matrix inverse operation. At the same time, a damping factor is automatically updated during an iterative process and that a relaxation factor used in each iteration is optimal is ensured as much as possible, so as to achieve faster convergence effect. The invention also discloses hardware architecture of the adaptive damping Jacobi detection method, mainly comprising a pre-processing module, a residual vector calculation module and an adaptive update module. According to the invention, by improving traditional Jacobi algorithm, faster convergence effect is realized and validity of the Jacobi iterative method is improved. Thus computational complexity of large-scale MIMO detection and complexity of hardware implementation is reduced.

Description

Technical field [0001] The invention relates to a large-scale MIMO detection method and device based on adaptive damping Jacobi iteration, and belongs to the technical field of wireless communication. Background technique [0002] With the rapid development of wireless communication technology, the number of mobile users and the scale of related industries have exploded, causing wireless networks to expose problems such as the shortage of spectrum resources and the urgent need to improve spectrum efficiency. Although the current fourth-generation mobile communication (4G) has been fully industrialized, its spectrum utilization and energy efficiency still cannot meet the needs of the future society, and its wireless coverage and user experience need to be further improved. On this basis, the fifth-generation mobile communication (5G) has become a research hotspot in the field of wireless communication at home and abroad. [0003] In order to meet the increasing performance requirem...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/08H04L1/00
CPCH04B7/0845H04B7/0854H04L1/0048H04L1/005
Inventor 张川张亚苹俞安澜尤肖虎
Owner SOUTHEAST UNIV
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