Automatic modulation classification of NLFM radar signal in multipath conditions

Hubert Milczarek; Czeslaw Lesnik; Igor Djurović

doi:10.1117/12.2623805

27 May 2022 Automatic modulation classification of NLFM radar signal in multipath conditions

Hubert Milczarek, Czeslaw Lesnik, Igor Djurović

Proceedings Volume 12108, Radar Sensor Technology XXVI; 121080R (2022) https://doi.org/10.1117/12.2623805
Event: SPIE Defense + Commercial Sensing, 2022, Orlando, Florida, United States

Abstract

The information about intrapulse modulation is commonly used to augment data in electronic intelligence systems. However, increasingly popular nonlinear frequency modulated (NLFM) waveform is hardly ever distinguished as a separate waveform class by electronic support systems. In this paper a method of recognizing NLFM radar signal is presented. The algorithm is based on two novel features extracted from fractional Fourier transform (FrFT) and instantaneous frequency estimated via quasi-maximum-likelihood (QML) method. Moreover, the algorithm is designed to be resistant to the multipath effects, which are inherent to land-based intercept systems.

Conference Presentation

Citation Download Citation

Hubert Milczarek, Czeslaw Lesnik, and Igor Djurović "Automatic modulation classification of NLFM radar signal in multipath conditions", Proc. SPIE 12108, Radar Sensor Technology XXVI, 121080R (27 May 2022); https://doi.org/10.1117/12.2623805

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