TY - JOUR
T1 - A simplified and efficient approach for designing microstrip bandpass filters
T2 - Applications in satellite and 5G communications
AU - Nouri, Leila
AU - Nkenyereye, Lewis
AU - Hafez, Mohammed Abdel
AU - Hazzazi, Fawwaz
AU - Chaudhary, Muhammad Akmal
AU - Assaad, Maher
N1 - Publisher Copyright:
© 2024 Elsevier GmbH
PY - 2024/4
Y1 - 2024/4
N2 - The C-band is extensively utilized in aviation radars and satellite communications (Satcom). Bandpass filters (BPFs) are crucial components in microwave systems operating within this frequency range. Therefore, it is important to develop a straightforward and effective method for designing BPFs with desired response characteristics. Currently, the prevailing approach for designing wideband microstrip BPFs involves employing multiple microstrip resonators and empirical techniques. However, some of these approaches lack comprehensiveness and a systematic design process. The design steps used for a specific type of microstrip filter with a particular cut-off frequency may not be directly applicable to developing a different filter with a distinct cut-off frequency. Conversely, having a systematic design process and software that can generate filter structures based on the filter order and response characteristics provides significant advantages in designing LC filters. Therefore, if we can design an LC filter with the desired response using conventional methods and subsequently convert it to a microstrip filter, we can achieve a more systematic design approach. The present paper proposes an innovative method to convert LC bandpass filters obtained using classical functions such as Elliptic, Butterworth, Chebyshev, and Bessel functions into microstrip BPFs. The designed microstrip BPFs offer a simple and repeatable design process and possess the flexibility to adjust the working frequency by employing a specific scaling factor. This adaptability makes the designed microstrip BPFs suitable for various applications, including Satcom and 5G systems.
AB - The C-band is extensively utilized in aviation radars and satellite communications (Satcom). Bandpass filters (BPFs) are crucial components in microwave systems operating within this frequency range. Therefore, it is important to develop a straightforward and effective method for designing BPFs with desired response characteristics. Currently, the prevailing approach for designing wideband microstrip BPFs involves employing multiple microstrip resonators and empirical techniques. However, some of these approaches lack comprehensiveness and a systematic design process. The design steps used for a specific type of microstrip filter with a particular cut-off frequency may not be directly applicable to developing a different filter with a distinct cut-off frequency. Conversely, having a systematic design process and software that can generate filter structures based on the filter order and response characteristics provides significant advantages in designing LC filters. Therefore, if we can design an LC filter with the desired response using conventional methods and subsequently convert it to a microstrip filter, we can achieve a more systematic design approach. The present paper proposes an innovative method to convert LC bandpass filters obtained using classical functions such as Elliptic, Butterworth, Chebyshev, and Bessel functions into microstrip BPFs. The designed microstrip BPFs offer a simple and repeatable design process and possess the flexibility to adjust the working frequency by employing a specific scaling factor. This adaptability makes the designed microstrip BPFs suitable for various applications, including Satcom and 5G systems.
KW - Converting design approach
KW - LC filter
KW - Microstrip bandpass filter
KW - Microstrip resonator
KW - Satellite communications
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U2 - 10.1016/j.aeue.2024.155189
DO - 10.1016/j.aeue.2024.155189
M3 - Article
AN - SCOPUS:85185395658
SN - 1434-8411
VL - 177
JO - AEU - International Journal of Electronics and Communications
JF - AEU - International Journal of Electronics and Communications
M1 - 155189
ER -