Soft-input soft-out (SISO) minimum mean squared error (MMSE) iteration receiving method based on eigenvalue decomposition

Abstract

The invention relates to a soft-input soft-out (SISO) minimum mean squared error (MMSE) iteration receiving method based on eigenvalue decomposition, which is characterized by comprising the following steps of: first, figuring out an equivalent channel matrix and an equivalent transmission correlation matrix by channel estimation and precoding of codebook information; carrying out eigenvalue decomposition on the equivalent transmission correlation matrix to acquire an eigenvalue and an eigenvector; inputting the equivalent channel matrix, the eigenvalue, the eigenvector and received signals into an SISO-MMSE detector, wherein the detector and an SISO decoder iteratively work by utilizing soft information input from the detector and the SISO detector as priori information; and finally, outputting a bit judgment by the decoder after the predefined iterations are reached. In the method of the invention, eigenvalue decomposition is introduced to transform the matrix inversion operation in each SISO-MMSE iteration process into division operation, thus the implementation complexity of the system is effectively reduced.

Description

technical field [0001] The present invention relates to a broadband mobile communication system that achieves high transmission rate through MIMO-OFDM technology, in particular to a wireless signal processing method for a wireless communication receiving end. Background technique [0002] The combination of multiple antenna (Multiple Input Multiple Output, MIMO) technology and Orthogonal Frequency Division Multiplexing (OFDM) technology can effectively improve system throughput and transmission efficiency, and meet the requirements of future mobile communication systems on system capacity. , Spectrum utilization, data transmission rate and many other requirements. MIMO technology can double the system capacity and spectrum utilization without increasing the bandwidth. OFDM technology converts wideband channels into several parallel narrowband channels, which can effectively combat multipath fading. In the Long Term Evolution (LTE) standard formulated by the Third Generation...

AI Technical Summary

Problems solved by technology

In the traditional soft input soft output minimum mean square error (Soft Input Soft Output Minimum Mean Square Error, SISO-MMSE) iterative receiving algorithm, since the SISO-MMSE detection process involves complex matrix inversion operations, and matrix inversion operations The number of times increases with the increase of the number of iterations, which has a high computational complexity, which limits the wide application of the algorithm

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