Channel decoding method and channel decoding device for double sending signals

Abstract

An embodiment of the invention discloses a channel decoding method and a channel decoding device for double-current sending signals. The channel decoding method for the double sending signals in the embodiment of the invention comprises the following steps of: initializing prior information of a first sending signal and prior information of a second sending signal; traversing all possible values of the first sending signal and calculating a log-likelihood ratio of each bit of the first sending signal; traversing all possible values of the second sending signal and calculating a log-likelihood ratio of each bit of the second sending signal; and carrying out processing, such as de-interleaving, soft decoding processing and iteration judgment, on the latest log-likelihood ratio of each bit of the first sending signal and the latest log-likelihood ratio of each bit of the second sending signal. According to the technical scheme provided by the invention, when channel decoding is carried out on the double sending signals, enumeration of all possible sending signals is effectively avoided and channel decoding complexity of the double-flow sending signals is reduced.

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 The channel capacity of the communication system, and use 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] Unde...

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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