{ "article_id": 1180, "public_id": "5e117b8e-a9b0-40c3-9909-9b829f67d51b", "internal_identifier": null, "source_identifier": "73:37", "status": "published", "type": "research_article", "title": "Yazılım Tabanlı Bilişsel Radar ile Mikro Doppler İmzasından Helikopter Tespiti ve Sınıflandırılması", "title_secondary": null, "abstract": "Bu çalışmada helikopterlere ait mikro doppler karakteristikleri kullanılarak 4 farklı helikopter için benzetim çalışmaları gerçekleştirilmiştir. Benzetim çıktıları sonucunda Çok Katmanlı Yapay Sinir Ağı kullanılarak helikopter sınıflandırılması için öznitelik çıkartımı sonucunda elde edilen pervane sayısı, pervane hızı, pervane boyu, ana gövde hızı ve radar kesit alanı kullanılarak eğitilmiştir. Eğitilen öğrenme algoritması C bant frekans ile modüle edilmiş sürekli dalga radarı kullanılarak gerçekleştirilip, sistemin başarısı test edilmiştir.", "language": "tr", "english_title": "Helicopter Detection and Classification from Micro Doppler Signature Using Software-Based Cognitive Radar", "english_abstract": "In this study, micro doppler signature of 4 different helicopters are simulated. After feature extraction simulation outputs such as; number of blades, rotation of the rotor, blade length, main body velocity and radar cross section are used for training of Multi Layer Artificial Neural Network. After training, machine learning algorithm was implemented to C band frequency modulated continuous wave radar and performance of detection was tested.", "doi": "10.36287/setsci.4.5.037", "doi_url": "https://doi.org/10.36287/setsci.4.5.037", "resource_url": "https://www.set-science.com/a/5e117b8e-a9b0-40c3-9909-9b829f67d51b", "pdf_url": "https://www.set-science.com/a/5e117b8e-a9b0-40c3-9909-9b829f67d51b/pdf", "og_image": "https://www.set-science.com/assets/img/og-card-v2.png", "authors": [ { "public_id": "fab2ea04-99f0-4dae-8257-eebba7ebdfed", "given": "Baran", "family": "Akbıyık", "full": "Baran Akbıyık", "literal": null, "orcid": null, "orcid_url": null, "email": "cyapici@baskent.edu.tr", "corresponding": false, "sequence": "first", "affiliations": [ { "name": "Başkent Üniversitesi", "department": null, "country": null, "country_code": null, "ror": null, "ror_url": null } ] }, { "public_id": "2a43952e-edf9-467d-a89a-9f502f836f9e", "given": "Eralp", "family": "Göğen", "full": "Eralp Göğen", "literal": null, "orcid": null, "orcid_url": null, "email": "cyapici@baskent.edu.tr", "corresponding": false, "sequence": "additional", "affiliations": [ { "name": "Başkent Üniversitesi", "department": null, "country": null, "country_code": null, "ror": null, "ror_url": null } ] }, { "public_id": "ad32caff-44e5-4d52-8fbe-7d2f87ea1926", "given": "Alparslan Çağrı", "family": "Yapıcı", "full": "Alparslan Çağrı Yapıcı", "literal": null, "orcid": null, "orcid_url": null, "email": "cyapici@baskent.edu.tr", "corresponding": true, "sequence": "additional", "affiliations": [ { "name": "Başkent Üniversitesi", "department": null, "country": null, "country_code": null, "ror": null, "ror_url": null } ] } ], "keywords": [ "Yazılım Tabanlı Radar", "Mikro Doppler", "Bilişsel Radar", "Helikopter Sınıflandırma", "FMCW Radar", "Çok Katmanlı Yapay Sinir Ağı." ], "translations": [ { "language": "en", "title": "Helicopter Detection and Classification from Micro Doppler Signature Using Software-Based Cognitive Radar", "abstract": "In this study, micro doppler signature of 4 different helicopters are simulated. After feature extraction simulation outputs such as; number of blades, rotation of the rotor, blade length, main body velocity and radar cross section are used for training of Multi Layer Artificial Neural Network. After training, machine learning algorithm was implemented to C band frequency modulated continuous wave radar and performance of detection was tested.", "keywords": [ "Software-based radar", "Micro Doppler", "Cognitive radar", "Helicopter classification", "FMCW radar", "Multilayer artificial neural network." ] } ], "subjects": [], "subject_names": [], "published_date": "2019-10-12", "published_year": "2019", "received_date": null, "accepted_date": null, "volume": "8", "issue": null, "page_first": "188", "page_last": "191", "article_number": null, "conference": { "short_name": "HORA2019", "full_title": "International Congress on Human-Computer Interaction, Optimization and Robotic Applications", "name": "International Congress on Human-Computer Interaction, Optimization and Robotic Applications", "acronym": "HORA2019", "location": "Ürgüp, Türkiye", "start_date": "2019-07-05", "end_date": null, "public_id": "bb3feb7e-5bc5-4613-9f80-db018557966d" }, "proceedings": { "title": "International Congress on Human-Computer Interaction, Optimization and Robotic Applications", "series_title": null, "publisher": "SET Technology", "isbn": "978-605-81988-2-1", "eisbn": null, "issn": null, "eissn": null, "doi": null, "doi_prefix": "10.36287", "slug": "setsci-volume-8-2019-legacy-73", "public_id": "d6728687-875d-402d-9381-ec5fef8ddef5", "url": "https://www.set-science.com/p/setsci-volume-8-2019-legacy-73" }, "license": { "name": "CC BY 4.0", "url": "https://creativecommons.org/licenses/by/4.0/", "code": "CC-BY-4.0", "open_access": true }, "copyright": { "holder": "SET Technology", "year": "2019" }, "funding_statement": null, "funders": [], "references": [ { "order": 1, "raw": "Victor C. Chen., Micro Doppler Effect in Radar, Artech House, Boston, 2011.", "doi": null, "title": null, "authors": null, "source": null, "year": null, "volume": null, "pages": null }, { "order": 2, "raw": "B. D. Bullard and P. C. Dowdy, “Pulse Doppler signature of a rotarywing aircraft,” IEEE Aerospace and Electronic Systems Magazine, vol. 6, pp. 28-30, May 1991.", "doi": null, "title": null, "authors": null, "source": null, "year": null, "volume": null, "pages": null }, { "order": 3, "raw": "C. E. Rotander and H. von Sydow, “Classification of Helicopters by the L/N-quotient,” in Proc. IEE Radar 97 (Conf. Publ. No. 449), Oct. 1997, pp. 629-633.", "doi": null, "title": null, "authors": null, "source": null, "year": null, "volume": null, "pages": null }, { "order": 4, "raw": "N. K. Shi and H. F. Williams, “Radar detection and classification of helicopters,” US Patent 5 689 268 A, 1997.", "doi": null, "title": null, "authors": null, "source": null, "year": null, "volume": null, "pages": null }, { "order": 5, "raw": "Chen, V.C.: ‘Analysis of radar micro-Doppler signature with time frequency transform’. Proc. 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