Multiple input multiple output (MIMO) uplink multi-user signal detection method, detection device and receiving system

Abstract

The invention relates to the technical field of wireless communication, in particular to a large-scale multiple input multiple output (MIMO) uplink multi-user signal detection method and detection device and an MIMO receiving system. The large-scale MIMO uplink multi-user signal detection method comprises the steps of utilizing matched filtering to obtain an initial first estimation of a quadrature amplitude modulation (QAM) symbol sent by a user; after offsetting influence of the current user signal first estimation from an MIMO detection equation, utilizing a compressed sensing method to reconstruct sparse signals; performing a hard decision on signals obtained after the first estimation and the reconstructed signals are added so as to obtain a second estimation, and utilizing the second estimation to update the current first estimation; enabling the process to be subjected to iteration until iteration end conditions are met; adopting an approximate message passing algorithm to serve as a compressed sensing signal reconstructing algorithm, and simultaneously setting to-be-reconstructed signal prior probability distribution to be Bernoulli-uniform distribution. The large-scale MIMO uplink multi-user signal detection method has the advantages of being low in complexity and being easily achieved on a current hardware device and the like.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to a massive MIMO uplink multi-user signal detection method, a massive MIMO uplink multi-user signal detection device and a MIMO receiving system. Background technique [0002] In contemporary broadband wireless networks, data services have replaced voice services as the main body of network transmission. Data services represented by video and files have the characteristics of large data volume, strong burst, high reliability requirements, and high delay requirements in some cases. Especially with the promotion and popularization of high-definition video and 3D video, users' demand for communication data has shown explosive growth. In order to meet the communication needs of users, the LTE-Advanced 4G communication system with MIMO (Multiple Input Multiple Output, multiple input multiple output), OFDM (Orthogonal Frequency Division Multiplexing, Orthogonal Fr...

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Problems solved by technology

The 4G system has the following two main disadvantages: First, because the 4G system adopts multi-antenna technology, compared with 2G and 3G systems, the power consumption of base stations and mobile terminals increases sharply, which will greatly increase the energy consumption and pollution emissions of the communication industry ; Second, although the 4G system has doubled the data transmission rate, it is far from being able to satisfy the data business that has increased by dozens or even hundreds of times.

[0008] In the prior art, the massive MIMO uplink multi-user signal detection adopts the MMSE (Minimum Mean Square Error, minimum mean square error) detection algorithm, and the MMSE detection algorithm is: x MMSE =(H * H+σ 2 P -1 ) -1 h * y, where, P=diag(p 1 ,p 2 ,...,p U ) is a diagonal matrix, () * Indicates the conjugate transposition of the matrix in the brackets; it is precisely because of the existence of the inverse operation in the MMSE expression that the algorithm complexity is o(U 3 ); when the number of communication users in the massive MIMO system is large, the complexity of the MMSE detection algorithm is very high, and it is difficult to implement it well on the current hardware

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