Maximum likelihood receiver data processing method and device

Abstract

The embodiment of the invention discloses a maximum likelihood receiver data processing method and device and relates to the technical field of communication. The method and device can solve the problems that parameters needed by an ML receiver cannot be accurately estimated, and the interference eliminating capacity of the ML receiver is reduced. The method includes the steps that the ML receiver estimates channels of a serving cell and an interference cell through signals in the position of a received reference signal, and a channel estimation matrix is obtained; first measurement of the received signal and first measurement of the channel estimation matrix are computed, and the survival path of the serving cell is determined according to the first measurement; second measurement of the received signal and second measurement of the channel estimation matrix are computed according to the determined survival path of the serving cell and all values of unknown parameters, and the survival path of the interference cell is determined according to the second measurement; a final survival path is determined according to the survival path of the interference cell; an LLR is computed according to the final survival path. The maximum likelihood receiver data processing method and device are applicable to ML receivers.

Description

technical field [0001] The invention relates to the field of communication technology, in particular to a method and device for processing data by a maximum likelihood ML receiver. Background technique [0002] In an LTE scenario, a UE (User Equipment, user equipment) may be interfered by a user equipment in a neighboring cell or a paired user equipment in a cell, and such interference will seriously reduce the performance of the UE in demodulating a data channel. High-density and heterogeneous base stations are the general evolution direction of the LTE network structure, which will obviously bring about more serious co-channel interference between cells and between multiple users. At present, receivers that suppress or eliminate multi-user or inter-cell interference can be used to suppress interference, such as IRC (Interference Rejection Combining, interference suppression combining) receiver, MMSE (Minimum Mean Square Error, minimum mean square error) receiver and ML ( ...

AI Technical Summary

Problems solved by technology

[0006] Embodiments of the present invention provide a method and device for maximum likelihood ML receiver data processing, which can solve the problem that the unknown parameters required by the ML receiver cannot be accurately estimated and the ability of the ML receiver to eliminate interference can be reduced

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