Polar code construction method and device, electronic equipment and readable memory medium

Abstract

The embodiment of the invention provides a polar code construction method and device, electronic equipment and a readable memory medium and applies to the technical field of wireless communication. The method comprises the steps of computing weight hierarchies corresponding to polar channels in a 2N-code-length polar code according to the weight hierarchies corresponding to the polar channels in an N-code-length polar code, and a McWilliams identical equation; computing a uniform bound of each polar channel under an additive white Gaussian noise channel condition according to the weight hierarchies corresponding to the polar channels in the 2N-code-length polar code, and a uniform bound computing formula; determining an error probability threshold of each polar channel according to the uniform bounds and a preset measurement method; and for any 2N-code-length polar code with a bit rate of K / 2N, when polar code construction is carried out, sorting the error probability thresholds in anascending mode, selecting the polar channels corresponding to the first K error probability thresholds for transmission of information bits, wherein the other polar channels are used for transmittingfreeze bits. According to the method, the device, the electronic equipment and the readable memory medium, polar code construction complexity can be reduced.

Description

technical field [0001] The present invention relates to the technical field of wireless communication, in particular to a polar code construction method, device, electronic equipment and readable storage medium. Background technique [0002] AWGN (Additive White Gaussian Noise, Additive White Gaussian Noise) is a very common noise model in wireless communication. The amplitude of the noise obeys the normal distribution and the power spectral density is evenly distributed. The channel with AWGN as noise is called AWGN channel, which is an ideal channel model often used in communication systems. GA (Gaussian Approximation, Gaussian approximation) is a simplified processing method for density evolution, which is used for channel reliability estimation in polar coding, that is, to estimate the error probability of information transmitted by each polar channel. Under BAWGNC (Binary Additive White Gaussian Noise Channel, Binary Additive White Gaussian Noise Channel), GA uses the ...

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Problems solved by technology

[0003] However, in an actual digital communication system, when using the GA algorithm to construct polar coding, it needs to be constructed by SNR, that is, when the SNR changes, it is necessary to recalculate the error probability of each polar subchannel, resulting in High complexity, low practicality

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