Biyomedikal Uygulamalar için Metamalzeme Bazlı Baskılı Devre Anteni

Modern kablosuz teknolojileri gereksinimleri için yeni anten tasarımlarının hızla artması nedeniyle, performans iyileştirme adına farklı teknikler önerilmektedir. Bu amaçla, bu makale, metamalzeme (MTM) tabanlı minyatür bir mikroşerit anten yapısı tasarlamak için yeni bir teknik sunmaktadır. Önerilen anten, insan vücuduna doğru minimum geri radyasyonla giyilebilir sistemlerin bir parçası olarak önerilmektedir. Bu nedenle anten, yama çekirdeğindeki elektrik alanı saçaklarını büyütmek için bir interdijital kapasitör ile bağlantılı kapalı bir döngüden yapılmıştır. Önerilen anten, birinci modda 0.6GHz'de bir FR-4 substratı üzerine basıldığında,-10dB'den daha az S11 empedans eşleşmesini gösterir. Önerilen anten performansı, radyasyon modeli açısından CST MWS'ye dayalı olarak sayısal olarak değerlendirilmiştir. Önerilen anten performansını gerekli frekans bandında optimize etmek için bir sinir ağı oluşturulmuştur. Son olarak, önerilen anten performansı, %4,4'ten daha az hata yüzdesi ile iyi bir uyum sağlamış ve bu değerler HFSS simülatörüne dayalı başka bir yazılım paketi kullanılarak doğrulanmıştır.

Anahtar Kelimeler:

CST MWS, Sinir ağı, Biyomedikal, MTM, HFSS.

Metamaterial-based Printed Circuit Antenna for Biomedical Applications

Due to the rapid increase for novel antenna designs to satisfy the modern wireless technologies, different techniques are proposed to improve their performance. For this purpose, this paper presents a novel technique to design a miniaturized microstrip antenna structure based on metamaterial (MTM) transmission line defected patch. The proposed antenna is introduced as part of wearable systems with minimum back radiation toward the human body. Therefore, the antenna is constructed of a closed loop linked to an interdigital capacitor to magnify the electric field fringing at the patch core. The proposed antenna when printed on a FR-4 substrate at 0.6GHz in the first mode shows S11 impedance matching less than -10dB. The proposed antenna performance is evaluated numerically based on CST MWS in terms of radiation pattern. A neural network is invoked to optimize the proposed antenna performance at the required frequency band. Finally, the proposed antenna performance is validated using another software package based on HFSS simulator to provide good agreement with percentage of error less than 4.4%.

Keywords:

CST MWS, Neural network, Biomedical, MTM, HFSS.,

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