Double recurrence equilibrium realizing method for combined detection

Abstract

The method includes modified Cholesky decomposition, which decomposes system correlation matrix R into product of unit of lower triangular matrix, diagonal matrix and unit of upper triangular matrix. The method omits radication operation in traditional Cholesky decomposition, and reduces quantity of division operation greatly so as to be implemented by hardware. Based on features of matrix obtained by Cholesky decomposition, new double recursive algorithm is adopted. Thus, matrix recursion and recursion method for solving unit triangular coefficient matrix equation set prevents operation from solving matrix inversion. Advantages are: reducing complexity of software, easy of realizing reuse of storage space for recursion operation, saving power consumption and storage space of handset as much as possible so as to suit hardware implementation.

Description

Technical field: [0001] The invention relates to a receiver joint detection technology in a mobile communication system, in particular to a double recursive equalization realization method in joint detection. Background technique: [0002] In mobile communication receivers, joint detection technology is a data estimation method with a wide range of applications and excellent performance. It is one of the important core technologies of TD-SCDMA (Time Division Synchronization-Code Division Multiple Access System). Its physical meaning It is to estimate all user data sent by the base station system at the same time. By making full use of the channelization code, channel fading, signal delay and other information of user information, it can not only improve the quality of signal transmission in the cell, expand the capacity of the wireless communication system, but also be applicable to mobile communication systems of various rates, and Improve spectral efficiency. The current...

AI Technical Summary

Problems solved by technology

These methods have their own advantages and disadvantages, but in the end they all use the matrix inversion operation, the algorithm complexity is high, and the numerical stability of the algorithm is poor

In engineering implementation, the BlockCholesky decomposition method is commonly used. This method has a relatively small amount of calculation in the prior art, but it needs to use the square root operation and matrix inversion operation, which is still the bottleneck of the mobile communication receiver.

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