Paper Details: Downloads: 499
Serial Number: P1180950104
Title: Design of a Low-Noise Bandpass filter using Active Capacitance Circuit and Tunability with Neural Network
Authors: Alishir Moradi Kordalivand
Abstract: In this paper, we especially analyze in detail the active capacitance circuit and its Negative resistance characteristic. We also present the new type of active filters based on an active capacitance circuit and tunability Negative resistance with Neural Network. We used ADS2008 and MATLAB2008A to perform simulations. Through the simulated results, it is shown that the proposed RF active filter can be applicable to the narrow bandpass filter (BPF) design, which also is stable and possesses Lownoise characteristics. The frequency range in which the circuit has negative resistance is 2- 7GHz. And center frequency is 5.5 GHz. In frequency rang, negative resistance tunability with Perceptrons Neural Network. We have 1dB gain at the center frequency and quality factor (Q) is 26. The noise-figure of active filter is 1.48dB at the center frequency. In general, the K factor is larger than unity and the circuit absolutely stable at the frequency range. The result tunability with Neural Network had error <1% in target
Keywords: Active filter, bandpass filters (BPFs), active capacitance circuit, negative resistance and Neural Network
Journal/Conference: International Journal of Digital Signal Processing
Volume: 9
Issue: 2
Submission Date: 9/1/2009 12:00:00 AM
Review Date: 10/1/2009 12:00:00 AM
Publishing Date: 12/1/2009 12:00:00 AM
Article Downloads: 499
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