Real-Time Radar Classification Based on Software-Defined Radio Platforms: Enhancing Processing Speed and Accuracy with Graphics Processing Unit Acceleration

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dc.authoridKara, Ali/0000-0002-9739-7619
dc.authoridDalveren, Yaser/0000-0002-9459-0042
dc.authoridkarakaya, mehmet/0000-0002-4475-4352
dc.contributor.authorOncu, Seckin
dc.contributor.authorKarakaya, Mehmet
dc.contributor.authorDalveren, Yaser
dc.contributor.authorKara, Ali
dc.contributor.authorDerawi, Mohammad
dc.date.accessioned2025-03-20T09:50:30Z
dc.date.available2025-03-20T09:50:30Z
dc.date.issued2024
dc.departmentİzmir Bakırçay Üniversitesi
dc.description.abstractThis paper presents a comprehensive evaluation of real-time radar classification using software-defined radio (SDR) platforms. The transition from analog to digital technologies, facilitated by SDR, has revolutionized radio systems, offering unprecedented flexibility and reconfigurability through software-based operations. This advancement complements the role of radar signal parameters, encapsulated in the pulse description words (PDWs), which play a pivotal role in electronic support measure (ESM) systems, enabling the detection and classification of threat radars. This study proposes an SDR-based radar classification system that achieves real-time operation with enhanced processing speed. Employing the Density-Based Spatial Clustering of Applications with Noise (DBSCAN) algorithm as a robust classifier, the system harnesses Graphical Processing Unit (GPU) parallelization for efficient radio frequency (RF) parameter extraction. The experimental results highlight the efficiency of this approach, demonstrating a notable improvement in processing speed while operating at a sampling rate of up to 200 MSps and achieving an accuracy of 89.7% for real-time radar classification.
dc.identifier.doi10.3390/s24237776
dc.identifier.issn1424-8220
dc.identifier.issue23
dc.identifier.pmid39686314
dc.identifier.scopus2-s2.0-85211799530
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.3390/s24237776
dc.identifier.urihttps://hdl.handle.net/20.500.14034/2230
dc.identifier.volume24
dc.identifier.wosWOS:001378172600001
dc.identifier.wosqualityQ2
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.indekslendigikaynakPubMed
dc.language.isoen
dc.publisherMDPI
dc.relation.ispartofSensors
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.snmzKA_WOS_20250319
dc.subjectsoftware-defined radio
dc.subjectelectronic support measures
dc.subjectradar classification
dc.subjectparameter extraction
dc.subjectclustering
dc.subjectGPU
dc.titleReal-Time Radar Classification Based on Software-Defined Radio Platforms: Enhancing Processing Speed and Accuracy with Graphics Processing Unit Acceleration
dc.typeArticle

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