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Joint detection method for signals of massive MIMO uplink system

A technology of joint detection and system signal, applied in the field of communication, can solve problems such as high signal complexity, and achieve the effect of reducing the number of iterations, convenient inversion, and low complexity

Inactive Publication Date: 2018-11-13
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] The problem to be solved by the present invention is the high complexity problem of signal detection in massive MIMO system uplink

Method used

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  • Joint detection method for signals of massive MIMO uplink system
  • Joint detection method for signals of massive MIMO uplink system
  • Joint detection method for signals of massive MIMO uplink system

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Embodiment Construction

[0015] Below in conjunction with accompanying drawing and embodiment, describe technical solution of the present invention in detail:

[0016] The specific implementation process of this embodiment is as follows:

[0017] A. System model and MMSE detection algorithm

[0018] Consider a massive MIMO uplink system, the system configuration is N B =128,N U =16, that is, 128 antennas at the base station serve 16 users at the same time. Send the signal after 64QAM modulation Symbol average power is E s , represents a flat Rayleigh fading channel, therefore, the received signal is

[0019] y=Hx+z (1)

[0020] in Gaussian white noise with variance σ 2 , the signal-to-noise ratio SNR is expressed as N U E. s / δ 2 . The present invention assumes that the channel estimate is perfect. The traditional MMSE detection algorithm can be expressed as

[0021]

[0022] where b=H H y represents the matched filter output of y, is the MMSE filter matrix, G=H H H represents...

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Abstract

The invention belongs to the technical field of communication, and relates to a joint detection method for signals of a massive MIMO uplink system. According to the scheme of the invention, the methodincludes the following steps that: firstly, an iterative matrix is constructed, and a low-complexity iterative scheme is proposed based on the constructed matrix; and then, a steepest descent methodand the proposed iterative method are mixed to accelerate the proposed iterative method; in addition, the computational complexity is reduced by skillfully utilizing the properties of inversion of partitioned matrices and a matrix-vector multiplication; and then, the detailed convergence proof and complexity analysis are performed; and finally, simulations prove that the BER performance of the proposed algorithm is better than that of most existing iterative algorithms and the near-optimal performance of an MMSE algorithm can be reached in a small number of iterations.

Description

technical field [0001] The invention belongs to the technical field of communication, and relates to a signal detection method for a massive MIMO uplink system. Background technique [0002] Massive majority multiple output (MIMO) has attracted extensive attention due to its low power consumption, high throughput and high energy efficiency. Although this technology has great development potential, there are still many related issues that need further research. One of the pressing issues is the high complexity of signal detection. In recent years, some simple linear detection methods, such as zero-forcing (ZF) detection and minimum mean square error (MMSE) detection, have been proved to be nearly optimal in massive MIMO uplink systems. But they still suffer from the high complexity problem of direct matrix inversion. In order to avoid direct inversion of large-scale matrices, approximation methods represented by Newman series (NS) expansion approximation and various iterat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04B7/0452H04L1/00
CPCH04B7/0452H04L1/0048
Inventor 金芳利刘皓刘秋凤
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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