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A scma blind detection method based on image processing

A technology of image processing and blind detection, applied in the baseband system, baseband system parts, digital transmission system, etc., can solve the problem of resource limitation, etc., and achieve the effect of improving detection performance, high hardware usage efficiency, and high versatility

Active Publication Date: 2021-01-26
SOUTHEAST UNIV
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AI Technical Summary

Problems solved by technology

Most of these multiple access technologies are multiple access technologies on the orthogonal level, which are greatly limited by the number of resources

Method used

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  • A scma blind detection method based on image processing
  • A scma blind detection method based on image processing
  • A scma blind detection method based on image processing

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Embodiment Construction

[0050] A kind of SCMA blind detection method based on image processing, comprises the steps:

[0051] (1) Assuming a normalized SCMA system with (N, K) as parameters, the code dimension is K, the constellation dimension is N, and the node with the highest frequency of occurrence is used as the adjacent pixel in the two-dimensional image to construct the corresponding mapping template , to obtain a mapping template from a one-dimensional signal to a two-dimensional image;

[0052] (2) After formulating the two-dimensional image mapping template with system characteristics, relying on the corresponding two-dimensional image mapping template, map each codeword in the original SCMA codebook to a K×K image;

[0053] (3) Perform pre-filtering and noise reduction on the two-dimensional image obtained in step (2), and perform SCMA codeword detection on the processed image.

[0054] Assuming a normalized SCMA system with (N, K) as parameters, the code dimension is K, and the constella...

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Abstract

The invention discloses a SCMA blind detection method based on image processing, comprising the following steps: (1) Assuming (N, K) as a parameterized standardized SCMA system, the code dimension is K, the constellation dimension is N, and the frequency of occurrence is the highest As the adjacent pixel points in the two-dimensional image, the corresponding mapping template is constructed to obtain the mapping template from the one-dimensional signal to the two-dimensional image; (2) after formulating the two-dimensional image mapping template with system characteristics, use Relying on the corresponding two-dimensional image mapping template, each codeword in the original SCMA codebook is mapped to a K×K image; (3) pre-filtering and noise reduction are performed on the two-dimensional image obtained in step (2), and after processing The image is used for SCMA codeword detection. The invention can greatly reduce the dependence of traditional detection methods on channel estimation, and improve the bit error rate detected when channel errors exist, and the throughput rate is high.

Description

technical field [0001] The invention relates to the technical field of wireless communication, in particular to an image processing-based SCMA blind detection method. Background technique [0002] In recent years, with the wide application of wireless communication technology in various fields, the demand for social communication has shown a rapid surge, and traditional communication technology is increasingly unable to meet the needs of social development. According to the predictions of major operators and authoritative consulting agencies, mobile broadband service traffic will increase by as much as 1,000 times in the next 10 years. In order to cope with the upcoming huge communication pressure, 5G has emerged as a brand new mobile communication technology. Among them, "Gbps user experience rate" will be the most critical technical indicator of 5G. In order to achieve this ultra-high-speed transmission rate, 5G will use important technologies such as large-scale antenna...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L25/02
CPCH04L25/0202H04L25/0238
Inventor 张川杨超徐炜鸿尤肖虎
Owner SOUTHEAST UNIV
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