Method and device for realizing sphere decoding of multi-input multi-output antenna system

Abstract

The invention provides a method and a device for realizing sphere decoding of a multi-input multi-output antenna system, belonging to the communication field and aiming at solving the technical problem of high calculating complexity of the sphere decoding in the prior art. The method comprises the steps of: 1, obtaining signals received by the multi-input multi-output antenna system and a space channel matrix; 2, performing QR decomposition on the space channel matrix to obtain a unitary matrix and an upper triangular matrix; 3, performing equilibrium processing on the received signal to obtain the equilibrium value with the first predetermined amount; 4, preprocessing the upper triangular matrix and the equilibrium value with the first predetermined amount to obtain the estimated coordinate value of a top-layer reference signal point with the first predetermined amount; 5, processing the estimated coordinate value of the top-layer reference signal point to generate soft bit values of the paths; and 6, generating and outputting the soft bit value of the sphere decoding according to the soft bit values of the paths. The invention is applied to the MIMO (Multi-Input Multi-Output) system.

Description

technical field [0001] The invention relates to the communication field, in particular to a method and device for realizing sphere decoding of a multiple-input multiple-output antenna system. Background technique [0002] The core concept of MIMO (Multiple Input Multiple Output) is to use the spatial freedom provided by multiple transmitting antennas and multiple receiving antennas to effectively improve the spectral efficiency of the wireless communication system to increase the transmission rate and improve communication quality. Because MIMO can greatly increase the data throughput and transmission distance of the system without increasing the bandwidth or total transmission power consumption, this technology has attracted a lot of attention in recent years. [0003] figure 1 It is a diagram of a MIMO detection device in a commonly used communication system. After the signal at the transmitting end undergoes space-time coding and IFFT (inverse Fourier transform), it is ...

AI Technical Summary

Problems solved by technology

However, when the channel is poor, the performance of the system is poor and cannot meet the requirements

In order to improve system performance, it can only be solved by increasing the number of access points, and the high computational complexity of the system will be greatly increased, which will take up more resources and greatly increase the area and power consumption of the system.

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