UAMP-based RHS-MIMO system symbol detection method

Through the UAMP-based method, the channel matrix of the RHS-MIMO system is decomposed and the factor graph model is constructed, and an efficient Bayesian symbol detection algorithm is designed, which solves the problems of comprehensive and strong correlation of the fully polarized near-field channel in the RHS-MIMO system, and realizes high-performance and low-complexity symbol detection.

CN119652467APending Publication Date: 2025-03-18HENAN UNIVERSITY OF TECHNOLOGY
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Patent Information

Application Number
CN202411803224.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-12-09
Publication Date
2025-03-18

AI Technical Summary

Technical Problem

The complexity and strong correlation of fully polarized near-field channels in RHS-MIMO systems lead to increased difficulty in symbol detection, and it is difficult for the prior art to design high-performance, low-complexity and high-rootty symbol detection algorithms.

Method used

Through the UAMP-based method, the channel matrix of the RHS-MIMO system is analyzed in structural features, the high-dimensional signal model is decomposed into multiple low-dimensional sub-signal models, and an efficient Bayesian symbol detection algorithm is designed using factor graph model and UAMP technology.

Benefits of technology

It realizes that while reducing the complexity of the algorithm, it improves the detection accuracy of the symbol matrix, improves the robustness of the system, and significantly improves the performance of the detection algorithm.

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Abstract

The invention relates to the technical field of wireless communication, in particular to an RHS-MIMO system symbol detection method based on UAMP, which comprises the following steps: step A, modeling an RHS-MIMO uplink communication channel and system; step B, decomposing the high-dimensional received signal model into a plurality of low-dimensional sub-signal models by using the structural characteristics of the channel matrix; c, performing unitary transformation processing on the sub-signal model, performing factorization on the joint probability density distribution function of all variables, and constructing a corresponding factor graph model according to the factorization; step D, designing a symbol detection message passing algorithm based on UAMP; and E, repeating the step D until the algorithm converges. Compared with the existing algorithm, the algorithm disclosed by the invention has certain advantages in the aspects of bit error rate performance and robustness, and is high in convergence speed and good in stability.
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