In this work, optimum radar parameters are determined by continuous parameter genetic algorithm maximizing the radar range under jamming.
📌 3 Key Takeaways
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Objective & Hypothesis:The main objective of noise jamming is to inject an interference signal into the enemy's electronic equipment such that the real signal is completely submerged by the interference signal. $R_{max}$ is known as " burn- through range" and indicates the range at which the radar overcomes the jamming effect.
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Key Findings & Data:The main objective of noise jamming is to inject an interference signal into the enemy's electronic equipment such that the real signal is completely submerged by the interference signal. $R_{max}$ is known as " burn- through range" and indicates the range at which the radar overcomes the jamming effect.
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Conclusion & Impact:In this work, optimum radar parameters are determined by continuous parameter genetic algorithm maximizing the radar range under jamming.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters
Abstract
The main objective of noise jamming is to inject an interference signal into the enemy's electronic equipment such that the real signal is completely submerged by the interference signal. $R_{max}$ is known as " burn- through range" and indicates the range at which the radar overcomes the jamming effect. In this work, optimum radar parameters are determined by continuous parameter genetic algorithm maximizing the radar range under jamming.
Özet
Gürültü karıştırmasında amaç; karıştırıcının, düşman elektronik cihazlarında gerçek sinyalden daha güçlü olan sinyali yaratmasıdır. $R_{max}$ "delip geçme uzaklığı" olarak bilinir ve radarın karıştırma etkisini engelleyebileceği maksimum mesafesidir. Bu çalışmada, karıştırma ortamında radar parametreleri, sürekli genetik algoritma yardımıyla radar menzilinin maksimize edilmesi için belirlenmiştir.
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Cite This Article
ERKANLI, S., GÜNEL, T., KURNAZ, S. (2004). Optimum radar parametrelerinin sürekli genetik algoritma yardımıyla karıştırma ortamında radar menzilinin maksimize edilmesi için belirlenmesi. Havacılık ve Uzay Teknolojileri Dergisi, Cilt: 1 - Sayı: 4, 41–46. https://ajindex.com/articles/204854
Günel. T and Aydemir. M.E., Application of continuous parameter genetic algorithm to the problem of synthesizing bandpass distributed amplifiers, AEÜ Int. J. of Electron. Commun, 56, 351-354, 2002
Haupt, R.L and Haupt, S.E, Practical Genetic Algorithms, New York, John Wiley & Sons, 1998. [8 ] Merill I.Skolnik, Introduction to Radar Systems, New York, 2001