Optimal Design of 2.4 GHz ISM Band CMOS LNA Using the Cat Swarm Optimization Algorithm

This article presents the optimal design of a high-gain, low-noise-figure (NF), highly linear complementary metal–oxide–semiconductor (CMOS) cascode low-noise amplifier (LNA) with inductive source degeneration for a 2.4 GHz ISM band. The evolutionary technique adopted here is the cat swarm optimization (CSO) algorithm. CSO is utilized to minimize the NF. The optimal transistor sizing of the LNA circuit is obtained through the CSO algorithm. Additionally, CSO helps to determine the other component values for the LNA. These parameters are applied to construct the LNA in CADENCE software. The post-layout simulation for the 2.4 GHz LNA results in an IIP₃ of −2.44 dBm, NF of 0.303 dB, gain of 17.95 dB, and layout area of 0.66 × 0.65 mm². The CSO-based design of LNA produces better results as compared to the previous literature regarding NF, gain, and figure of merit (FOM). The designed LNA is useful in Bluetooth, Zigbee, Wi-Fi, and wireless body area network (WBAN) applications.