Abstract
In this paper, a novel design method for reconfigurable bandpass filter with constant absolute bandwidth based on neural network is proposed. This method allows designing bandpass filters with tunable central frequency and constant absolute bandwidth. A set of inductance and capacitance values for the center frequency and absolute bandwidth requirements are optimized by using neural network. Then, optimize the capacitance values to adjust the center frequency with fixed inductance values remain unchanged. Experiments show that this method can optimize multiple LC circuit parameters of BPFs with the same absolute bandwidth and different center frequencies effectively and accurately.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
