Optimization of 6.5 GHz CMOS Low Noise Amplifier Applying Multi-objective Firefly Algorithm

This paper demonstrates an optimal low-noise amplifier (LNA) design with applying Firefly Algorithm (FA). To optimize the noise figure (NF) and gain (similar to the input and output matching and linearity) the FA is charity, although validating entirely the design constraints. Subsequently, there are five objectives for optimizing; they may treat as multiobjective optimization. Weighted sum access is accustomed to alter these purposes to a single objective function. The Weights are set consistent through the objective function precedence. The recommended LNA has a cascode manufacture with an inductive source degeneration circuit for usage at 6.5 GHz frequency; it is exploited to implement in ADS software at the UMC $0.18 \mu \mathrm{m}$ CMOS technology through a 1.8 V supply voltage. The considered LNA has simulated assessments: Input reflection coefficient (S
11
) of -21dB, Output reflection coefficient (S
22
) of -14 dB, Voltage gain (S
21
) of 19.74 dB, noise figure (NF) of 1.42 dB, and IIP3 of -3 dBm at 6.5 GHz. The optimized LNA parameter assessment utilizing FA, at what time simulated in MATLAB situation, is instituted to be -26.46 dB, -18.41 dB, 20.51 dB, 1.29 dB and 0.325 dBm for S
11
, S
22
, S
21
, NF, and IIP3, respectively. The FA execution in optimizing the LNA parameters is also associated through the execution of comparable fashionable algorithms similar particle swarm optimization (PSO) and cuckoo search algorithm (CSA). The consequences completely verify the FA’s superiority ended additional approaches in expressions of its computational consistency and proficiency.