Decoding method based on maximum posterior probability in analog coding

A technology of maximum a posteriori probability and analog coding, applied in digital transmission systems, electrical components, error prevention, etc., can solve problems such as high algorithm complexity and difficulty in implementation, and achieve reduced power penalties, reduced computational complexity, and channel noise Improved effect

Inactive Publication Date: 2018-06-01
TONGJI UNIV
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Problems solved by technology

The optimization goal of the minimum mean square error is to minimize the mean square error based on the estimated value of the received data and the target data, but this algorithm invo

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  • Decoding method based on maximum posterior probability in analog coding
  • Decoding method based on maximum posterior probability in analog coding
  • Decoding method based on maximum posterior probability in analog coding

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Embodiment

[0048] A decoding method based on maximum a posteriori probability in analog coding, comprising the following steps:

[0049] S1. The sending end sends the simulated coded signal and the group of pictures (GOP) block variance in the form of metadata to the receiving end through the introduction of a pseudo-analog transmission SoftCast that sets a chaotic function;

[0050] S2. Modeling the noise of the received analog signal as Gaussian noise to obtain an equivalently modeled signal to be decoded;

[0051] S3. Calculate the coding gain;

[0052] S4. Using the closed expression of the set chaotic function and the Gaussian distribution function of the MAP decoder, the closed expression of MAP decoding of 1 / 2 analog encoding and 1 / 3 analog encoding is obtained;

[0053] S5. Obtain the DCT coefficient matrix by decoding the closed expression through MAP, and obtain the decoded output of the noisy coded symbols through IDCT reconstruction.

[0054] Step S1 introduces a chaotic fu...

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Abstract

The invention relates to a decoding method based on maximum posterior probability in analog coding, the method comprises the following steps: S1, by a sending end, sending a signal, subjected to analog coding, and a block variance to a receiving end through introducing pseudo-analog transmission SoftCast of a set chaos function; S2, modeling a noise of the received analog signal into a gaussian noise, and obtaining a to-be-decoded signal of equivalent modeling; S3, calculating a coding gain; S4, through the set chaos function and a closed expression of a MAP decoder gaussian distribution function, obtaining a MAP decoding closed expression of 1/2 analog coding and 1/3 analog coding; S5, performing IDCT reconstruction for a IDCT reconstruction coefficient matrix to obtain a decoding outputof a noisy coding symbol. Compared with the prior art, the method provided by the invention makes full use of prior probability distribution information of an information source and known received data, simultaneously balances performance and computation complexity and has the advantage of being easy to use in actual systems.

Description

technical field [0001] The invention relates to the field of wireless communication, in particular to a decoding method based on maximum a posteriori probability in analog coding. Background technique [0002] Although the current layered coding technology based on digital transmission can achieve the scalability of the receiving quality, it still cannot completely avoid the cliff effect, but only converts it into a ladder effect. The reason is that the core technology of wireless digital transmission is coding. The input source is first compressed and removed by source coding techniques such as transformation, quantization, and entropy coding to remove redundancy. The compressed source is very sensitive to transmission errors. Errors often cause a large amount of data to be undecodable, so the compressed source is protected by introducing redundancy through channel coding. [0003] In the face of increasingly prominent digital wireless transmission problems, considering th...

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Application Information

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IPC IPC(8): H04L1/00H04N19/177H04N19/625H04N19/176H04N19/89
CPCH04L1/0052H04L1/0055H04N19/176H04N19/177H04N19/625H04N19/89
Inventor 吴俊谭彬张冬冬王睿刘典
Owner TONGJI UNIV
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