article · SHILAP Revista de lepidopterología · 2019

Structural Data Interference Detection Method Based on Block Code

PANG Tianyang, LI Yonggui, NIU Yingtao, XIA Zhi, HAN Chen

Cited by 0Open access

Abstract

In order to detect the high-efficiency interference of structural data,the linear block code is taken as the research object,and malicious interference signals are added to the noise model of classical energy detection algorithm to deduce the mathematical expression of test statistics in binary hypothesis model.On this basis,taking the minimum sum of false alarm rate and missed detection rate as the criterion,an energy detection algorithm based on optimal detection threshold is proposed.Simulation results show that the algorithm can detect high-efficiency interference at a low signal-to-interference ratio,and the detection probability is higher than that of the algorithm based on CFAR threshold theory.

Cite this paper

APA 7

PANG Tianyang, L. Y. N. Y. X. Z. H. C. (2019). Structural Data Interference Detection Method Based on Block Code. SHILAP Revista de lepidopterología. https://doi.org/10.19678/j.issn.1000-3428.0052390

MLA 9

PANG Tianyang, LI Yonggui, NIU Yingtao, XIA Zhi, HAN Chen. “Structural Data Interference Detection Method Based on Block Code.” SHILAP Revista de lepidopterología, 2019, https://doi.org/10.19678/j.issn.1000-3428.0052390.

Chicago

PANG Tianyang, LI Yonggui, NIU Yingtao, XIA Zhi, HAN Chen. 2019. “Structural Data Interference Detection Method Based on Block Code.” SHILAP Revista de lepidopterología. https://doi.org/10.19678/j.issn.1000-3428.0052390.

Harvard

PANG Tianyang, L.Y.N.Y.X.Z.H.C. (2019) ‘Structural Data Interference Detection Method Based on Block Code’, SHILAP Revista de lepidopterología. Available at: https://doi.org/10.19678/j.issn.1000-3428.0052390.

BibTeX

@article{pangtianyang2019structural,
  title = {{Structural Data Interference Detection Method Based on Block Code}},
  author = {PANG Tianyang, LI Yonggui, NIU Yingtao, XIA Zhi, HAN Chen},
  journal = {SHILAP Revista de lepidopterología},
  year = {2019},
  doi = {10.19678/j.issn.1000-3428.0052390}
}

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