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A novel automated MOALO algorithm aided RF low‐noise amplifier design for wireless applications
Author(s) -
Suvitha Sundar,
Mathana J.M.
Publication year - 2018
Publication title -
concurrency and computation: practice and experience
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.309
H-Index - 67
eISSN - 1532-0634
pISSN - 1532-0626
DOI - 10.1002/cpe.4915
Subject(s) - low noise amplifier , radio frequency , cmos , wireless , electronic engineering , computer science , amplifier , noise figure , noise (video) , cascode , rf power amplifier , electrical engineering , algorithm , topology (electrical circuits) , engineering , telecommunications , artificial intelligence , image (mathematics)
Summary This paper presents a Novel automated Multi Objective Ant Lion Optimization Algorithm (MOALO) aided Radio Frequency Low Noise Amplifier (RFLNA) design for wireless applications. This MO‐ALO algorithm has been used to resolve numerous nonlinear engineering problems with exceptional results. In regard of this, the MOALO algorithm is used to optimize the performance parameters of RF LNA. The RF LNA topology has a cascode structure with inductive source degeneration topology using 0.18 μm CMOS technology for wireless applications. This optimization using the MOALO algorithm is implemented using the Xilinx tool, which optimizes the active and passive parameters of RF LNA, and the optimized RF LNA is simulated using the Agilent ADS and Cadence OrCAD Capture 17.2 tools; the results are compared with the existing works. This optimized RF LNA provides high Gain, Low Noise Figure, and better Stability with less power and low circuit complexity.