An adaptive microwave photonic filter with LMS algorithm. Issue 8 (24th May 2022)

• Record Type: Journal Article
• Authors: Ding, Yujiao; Wang, Yue; Yang, Yuchen; Du, Cong; Dong, Wei
• Is Part Of: Journal of electromagnetic waves and applications. Volume 36:Issue 8(2022)
• Page Start: 1076
• Page End: 1088
• Publication Date: 2022-05-24
• Subjects: Microwave photonic filter -- adaptive algorithm -- weight coefficient -- LMS; Electromagnetic waves -- Periodicals; Electromagnetic devices -- Periodicals; 621.3
• DOI: 10.1080/09205071.2021.2003258
• Languages: English
• ISSNs: 0920-5071

Abstract

Abstract : A microwave photonic filter (MPF) with an adaptive algorithm is proposed and theoretically analyzed. The structure combines the finite impulse response (FIR) MPF with the adaptive algorithm. The FIR MPF includes variable optical attenuators (VOAs) and variable optical delay lines (VDLs). The least mean square (LMS) algorithm can calculate the weight coefficient of each tap in FIR MPF, which can influence the VOA to realize the adaptive filtering process. This adaptive MPF can extract the desired signal from noise precisely. The noise signal can be well suppressed and the signal-to-noise ratio (SNR) can be developed from 4.15 to 25.5 dB. In addition, this adaptive MPF can be suitable for a wide range of signals.