A novel automated MOALO algorithm aided RF low‐noise amplifier design for wireless applications

Abstract

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.

A computer‐aided design tool for RF filters design automation

“…These reviews report the design flow approach and process for these tools as well as different types of simulations and optimization techniques. From literature, [4][5][6][7][8][9][10][11][12][13][14][15][16][17][18] there are many available CAD tools for either RF/microwave components-circuits and systems, from which some of them are discussed hereafter. In Kouhalvandi et al, 4 an automated optimization method is presented for designing high power amplifiers using deep neural networks (DNNs).…”