Signature Based Radar Target Classification

Parvatha, R Sruthi; Ramya, T; Aparanji, G S; Mamtha, M V; Gupta, Anjali; Tom, Rijo Jackson

doi:10.1109/rteict52294.2021.9573912

2021 International Conference on Recent Trends on Electronics, Information, Communication &Amp; Technology (RTEICT) 2021

DOI: 10.1109/rteict52294.2021.9573912

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Signature Based Radar Target Classification

R Sruthi Parvatha

T Ramya

G S Aparanji

et al.

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2023

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The Design of the 1D CNN–GRU Network Based on the RCS for Classification of Multiclass Missiles

Kim

Kang

et al. 2023

Remote Sensing

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For real-time target classification, a study was conducted to improve the AI-based target classification performance using RCS measurements that are vulnerable to noise, but can be obtained quickly. To compensate for the shortcomings of the RCS, a 1D CNN–GRU network with strengths in feature extraction and time-series processing was considered. The 1D CNN–GRU was experimentally changed and designed to fit the RCS characteristics. The performance of the proposed 1D CNN–GRU was compared and analyzed using the 1D CNN and 1D CNN–LSTM. The designed 1D CNN–GRU had the best classification performance with a high accuracy of 99.50% in complex situations, such as with different missile shapes with the same trajectory and with the same missile shapes that had the same trajectory. In addition, to confirm the general target classification performance for the RCS, a new class was verified. The 1D CNN–GRU had the highest classification performance at 99.40%. Finally, as a result of comparing three networks by adding noise to compensate for the shortcomings of the RCS, the 1D CNN–GRU, which was optimized for both the data set used in this paper and the newly constructed data set, was the most robust to noise.

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The Design of the 1D CNN–GRU Network Based on the RCS for Classification of Multiclass Missiles

Kim

Kang

et al. 2023

Remote Sensing

View full text Add to dashboard Cite

show abstract

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Signature Based Radar Target Classification

Cited by 1 publication

References 14 publications

The Design of the 1D CNN–GRU Network Based on the RCS for Classification of Multiclass Missiles

The Design of the 1D CNN–GRU Network Based on the RCS for Classification of Multiclass Missiles

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