Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)

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Density and Dispersion Based Radar Signal Denoising Presorting Algorithm

Authors
Zhiyu Qu1, 2, Xinyue Li1, 2, *
1School of Information and Communication Engineering, Harbin Engineering University, Harbin, China
2Key Laboratory of Advanced Ship Communication and Information Technology, Ministry of Industry and Information Technology, Harbin, China
*Corresponding author. Email: 3487272610@qq.com
Corresponding Author
Xinyue Li
Available Online 30 December 2022.
DOI
10.2991/978-94-6463-108-1_91How to use a DOI?
Keywords
radar signal sorting; denoise; grid cell; density; dispersion
Abstract

Aiming at the problem that the receiver receives a large number of noise and interference signals in a complex electromagnetic environment, which reduces the accuracy of radar signal sorting. In this paper, a density and dispersion based radar signal denoising presorting algorithm is proposed. Firstly, The algorithm maps PDW datas into grid cells, and uses the average density to divide high and low density cells. Then, the PDW datas inside the low-density grid cells are further eliminated by judging the degree of dispersion. The simulation results show that, under the condition of a lot of noise in the electromagnetic environment, this algorithm can remove more than 85% of the noise. The accuracy of radar signal presorting is greatly improved.

Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
Series
Advances in Computer Science Research
Publication Date
30 December 2022
ISBN
10.2991/978-94-6463-108-1_91
ISSN
2352-538X
DOI
10.2991/978-94-6463-108-1_91How to use a DOI?
Copyright
© 2022 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Zhiyu Qu
AU  - Xinyue Li
PY  - 2022
DA  - 2022/12/30
TI  - Density and Dispersion Based Radar Signal Denoising Presorting Algorithm
BT  - Proceedings of the 2022 International Conference on Computer Science, Information Engineering and Digital Economy (CSIEDE 2022)
PB  - Atlantis Press
SP  - 818
EP  - 825
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-108-1_91
DO  - 10.2991/978-94-6463-108-1_91
ID  - Qu2022
ER  -