Optimal design of a wideband bandpass filter using particle swarm optimization

In this study, a wideband bandpass filter is designed using particle swarm optimization technique. The PSO is adopted to find the optimal value of each lumped component of the BPF. Optimized results show that the design goal is successfully achieved. The results are verified by Agilent ADS for valid...

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Bibliographic Details
Published in2016 IEEE 5th Asia-Pacific Conference on Antennas and Propagation (APCAP) pp. 383 - 384
Main Authors Min-Sian Chen, Wei-Chung Weng
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.07.2016
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Summary:In this study, a wideband bandpass filter is designed using particle swarm optimization technique. The PSO is adopted to find the optimal value of each lumped component of the BPF. Optimized results show that the design goal is successfully achieved. The results are verified by Agilent ADS for validity. Excellent agreement between them can be seen. The ripples of |S21| in the passband are less than 0.03 dB and levels of |S21| in the stopband are less than -25 dB. The comparison shows that the performance of proposed wideband BPF outperforms that of the recent published work.
DOI:10.1109/APCAP.2016.7843254