An Intelligent Radar Signal Intelligence Framework for Automated  Impairment-Aware Classification

B. Hari Krishna

An Intelligent Radar Signal Intelligence Framework for Automated Impairment-Aware Classification

Authors

B. Hari Krishna

Keywords:

Radar Signal Classification, Impaired Radar Signals, Machine Learning, SNR, Image Preprocessing, Predictive Modeling, Signal Intelligence

Abstract

Radar signal classification plays a vital role in modern surveillance, defense, electronic warfare, andcommunication systems by enabling the identification of different radar modulation types under varyingsignal conditions. Traditionally, radar signal analysis has been performed manually by domain experts through visual inspection and interpretation of signal patterns

References

Ma, Z.; Huang, Z.; Lin, A.; Huang, G. LPI Radar Waveform Recognition Based on Features from Multiple Images. Sensors 2020, 20, 526.

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Published

2024-05-20

How to Cite

B. Hari Krishna. (2024). An Intelligent Radar Signal Intelligence Framework for Automated Impairment-Aware Classification. Journal of Computational Analysis and Applications (JoCAAA), 33(05), 3743–3750. Retrieved from https://www.eudoxuspress.com/index.php/pub/article/view/5615