A novel automatedMOALOalgorithm aided RF low-noise amplifier design for wireless applications

摘要

This paper presents a Novel automated Multi Objective Ant Lion Optimization Algorithm(MOALO) aided Radio Frequency Low Noise Amplifier (RFLNA) design for wireless applications.ThisMO-ALOalgorithm has been used to resolve numerous nonlinear engineering problems withexceptional results. In regard of this, theMOALO algorithm is used to optimize the performanceparametersofRFLNA.TheRFLNAtopology has a cascode structure with inductive sourcedegenerationtopology using 0.18 μm CMOS technology for wireless applications. This optimizationusing theMOALO algorithm is implemented using the Xilinx tool, which optimizes the active andpassive parameters of RF LNA, and the optimized RF LNA is simulated using the Agilent ADS andCadenceOrCAD Capture 17.2 tools; the results are compared with the existingworks. This optimizedRF LNA provides high Gain, Low Noise Figure, and better Stability with less power and lowcircuit complexity.