Citation :

Narapusetti Adinarayana, CH Nagaraju, "Performance Analysis of Intra-Pulse Modulation Recognition of Radar Signals Via Hand-Crafted Feature Extraction and Classification," International Journal of Engineering Trends and Technology (IJETT), vol. 74, no. 4, pp. 27-36, 2026. Crossref, https://doi.org/10.14445/22315381/IJETT-V74I4P103

Abstract

Recognizing intrapulse-modulated signals is crucial for electronic warfare and reconnaissance systems since it involves identifying certain modulation patterns under weak and noisy signals. Recently, advances in feature extraction and signal processing have powered new techniques that greatly increase the identification speed and identification rate. Most approaches still only use crafted features and time-frequency representations for analyzing and classifying radar signals. In this article, we review the performance of such systems designed using handcrafted features and based on the recognition of different intra-pulse modulation. Most handcrafted systems still use the raw digital signal or the processed images of the time-frequency representation as feed for their algorithm. In this regard, we take the lead in the discussion by proposing a system for signal processing that transforms the raw signal into a time-frequency representation image to be processed. After the image is computed, it is passed on for a fixed feature set, followed by a set of standard classifiers for identification. In various test situations, our constructed pipeline showed consistent and significant improvement over established methods in terms of identification precision and overall accuracy.

Keywords

Intra-Pulse Modulation, Radar Signals, Feature extraction, Hand-crafted features, Classification.

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