Analysis of the Influence of Noise in Reference Signal on the Performance of Non-Cooperative Passive Detection

In non-cooperative passive detection systems, reference signals are inevitably interfered by noise and will affect the detection performance of the system. This paper carries out in-depth analysis and research on this issue. First, the digital radio mondiale signal is used as the radiation source, the signal model and ambiguity function performance of digital radio mondiale signal are analyzed. Then, the influence of noise on the detection performance of the system is analyzed by theoretical modeling and formula deduction, based on the model of reference signal and surveillance signal. Finally, the simulation results verify the relevant conclusions of the theoretical derivation.

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Publication Details

Published
2024-10-26
DOI
https://doi.org/10.1109/cisp-bmei64163.2024.10906080
Primary Topic
Neural Networks and Applications
Type
article
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Analysis of the Influence of Noise in Reference Signal on the Performance of Non-Cooperative Passive Detection

Ying Tao, Cheng Zhou, Ruoyu Zhang, Xiaoyang Hou
Neural Networks and Applications
article

Analysis of the Influence of Noise in Reference Signal on the Performance of Non-Cooperative Passive Detection

Ying Tao, Cheng Zhou, Ruoyu Zhang, Xiaoyang Hou
article en

Abstract

In non-cooperative passive detection systems, reference signals are inevitably interfered by noise and will affect the detection performance of the system. This paper carries out in-depth analysis and research on this issue. First, the digital radio mondiale signal is used as the radiation source, the signal model and ambiguity function performance of digital radio mondiale signal are analyzed. Then, the influence of noise on the detection performance of the system is analyzed by theoretical modeling and formula deduction, based on the model of reference signal and surveillance signal. Finally, the simulation results verify the relevant conclusions of the theoretical derivation.

Naval University of Engineering (CN)
Openalex Percentile: Top 74%
Neural Networks and Applications
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Analysis of the Influence of Noise in Reference Signal on the Performance of Non-Cooperative Passive Detection — Ying Tao, Cheng Zhou, et al. · (2024) | TGRS Research Map | TGRS