On the Evaluation of Satellite Application Technology System Based on Long-Range Precision Strike Capability

Sun, Shoujin; Yan, Hou; Yili, Qin; Wan, Min

doi:10.1109/icisce.2017.112

Cited by 1 publication

(1 citation statement)

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“…In future warfare, long-range precision strikes are increasingly becoming a vital component of modern warfare [1] . Countries worldwide are continuously developing their capabilities for long-range precision strikes [2] .…”

Section: Introductionmentioning

confidence: 99%

Research on radar emitter signal classification technology based on SqueezeNet lightweight network

Jiang,

Wang,

et al. 2023

Third International Conference on Signal Image Processing and Communication (ICSIPC 2023)

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With the rapid advancement of information technology, the modern battlefield is characterized by a highly complex electromagnetic environment. Radar radiation sources exhibit wide-ranging parameter variations and strong random characteristics, presenting formidable challenges to the signal selection of radar radiation sources in missile-borne countermeasure systems. This paper addresses the issue of reliable identification and selection of radar source signals by on-board countermeasures systems. Through the analysis of source signal characteristics, the Smooth Pseudo Wigner-Ville Distribution (SPWVD) method is employed for time-frequency analysis to extract the time-frequency features of the source signals. Furthermore, a lightweight network based on SqueezeNet is implemented to achieve high-precision source signal selection. The results demonstrate that, when the SNR of the source signals is greater than 0dB, the network model achieves a recognition accuracy above 94.59%. The selection accuracy is comparable to that of the Convolutional Neural Network (CNN), thereby meeting the requirements of on-board countermeasure systems for reliable selection of radar source signals. The analysis confirms that under low signal-to-noise ratio conditions, noise significantly affects the network's selection accuracy by impacting the time-frequency clarity of the modulation signals.

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Section: Introductionmentioning

confidence: 99%