A Design Method for Reconfigurable Bandpass Filter with Constant Absolute Bandwidth based on Neural Network

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.