Channel decoding method and channel decoding device for dual-stream transmission signals

Abstract

The embodiment of the present invention discloses a channel decoding method and a channel decoding device for a dual-stream transmission signal, wherein the channel decoding method for a dual-stream transmission signal in the embodiment of the present invention includes: initializing a priori of the first transmission signal information and the prior information of the second transmitted signal; traverse all possible values ​​of the first transmitted signal, and calculate the logarithmic likelihood ratio information of each bit of the first transmitted signal; traverse all possible values ​​of the second transmitted signal, calculating the log-likelihood ratio information of each bit of the second transmitted signal; respectively calculating the newly obtained log-likelihood ratio information of each bit of the first transmitted signal and each bit of the second transmitted signal Deinterleaving, soft decoding processing, and iterative judgment are performed on the log likelihood ratio information. The technical solution provided by the invention can effectively avoid enumerating all possible transmission signals when channel decoding the dual-stream transmission signal, and reduces the channel decoding complexity of the dual-stream transmission signal.

Description

technical field [0001] The invention relates to the communication field, in particular to a channel decoding method and a channel decoding device for dual-stream transmission signals. Background technique [0002] Orthogonal Frequency Division Multiplexing (OFDM, Orthogonal Frequency Division Multiplexing) technology can effectively combat the frequency selective fading of broadband wireless multipath channels, and multiple-input multiple-output (MIMO, Multiple-Input Multiple-Out-put) technology can effectively improve wireless communication The channel capacity of the system, and use the diversity gain to enhance the reliability of information transmission. The iterative signal processing technology can make the receiver in the wireless communication system achieve near-optimal performance. Therefore, the iterative signal processing technology has been extended and applied to many modules of the receiver, including channel estimation, detection equalization, etc. [0003] ...

AI Technical Summary

Problems solved by technology

[0006] Although the use of MPA can minimize the error rate of the detection results, however, in the MIMO system, the use of the exhaustive search MAP algorithm means that all possible transmission signals will be enumerated. It can be seen that the MAP algorithm is extremely complex and computationally intensive. Extremely large, and the amount of computation increases exponentially with the increase in the number of streams sent

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