Grouping decoding method based on partial interference elimination and receiver

Abstract

The embodiment of the invention discloses a technical scheme of a grouping decoding method based on partial interference elimination and a receiver. The grouping decoding method based on partial interference elimination comprises the following steps: carrying out triangular decomposition on a correlation matrix of a channel, inverting the decomposed matrix, extracting a submatrix related to a group of signals from the inverted matrix aiming at each group of which the transmitting signals are divided into, acquiring a receipt signal vector and an equivalent channel matrix corresponding to the group after between-group interference is eliminated according to the matrix after orthogonal decomposition of the submatrix, and detecting the transmission vector of the group of the signals by utilizing a multiple input and multiple output detection method according to the receipt signal vector and the equivalent channel matrix corresponding to the group after the between-group interference is eliminated. The technical scheme lowers the realization complexity of grouping decoding and saves the processing resources of the receiver.

Description

technical field [0001] The invention relates to the technical field of network communication, in particular to a packet decoding method and receiver based on partial interference cancellation. Background technique [0002] The realization principle of the Partial Interference Cancellation (PIC) packet decoding method is as follows: [0003] Set the space-time code duration as t and the number of transmitting antennas as n T and the number of receiving antennas is n R , the MIMO (Multiple Input Multiple Output) system model can be written as the following equivalent form: [0004] y=Gx+w; [0005] where y is the original received signal vector and G is the equivalent channel matrix and x is the transmitted signal vector and x∈A n , A is the constellation symbol set, w is Gaussian white noise and C is the field of complex numbers. [0006] If the sequence number set of n information symbols is I={0, 1, 2, ..., n-1}, the transmitted signal is divided into N groups, t...

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Problems solved by technology

[0014] The inventor finds that there are at least the following problems in the above-mentioned prior art: due to and The dimensionality of is higher, so that the computed and The dimension of is also high, so that the matrix with high dimension is used in the maximum likelihood criterion for operation, and finally leads to the high complexity of block decoding

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