Particle Swarm Optimization for Comprehensive 24 GHz Amplifier Design

In this paper, we report a computational autonomous design of a 24 GHz one-stage microwave amplifier, which is a key device for high-speed communication. A novel fitness function for particle swarm optimization (PSO) is introduced and a microwave amplifier is optimized by considering stability, center frequency, gain, and bandwidth. Moreover, we consider the parameters of PSO such as inertia coefficient, the number of particles, and topology to ensure immunity against a local optimum and accelerate the convergence. As a result, a 12 mW, 24 GHz amplifier, which has 10.8 dB gain and 3.8 GHz bandwidth, is designed autonomously in an hour.

[1]  Salih Demirel,et al.  Design of an ultrawide band low noise microstrip amplifier using 3D sonnet- based SVRM with particle swarm optimization for space applications , 2013, 2013 6th International Conference on Recent Advances in Space Technologies (RAST).

[2]  James Kennedy,et al.  Defining a Standard for Particle Swarm Optimization , 2007, 2007 IEEE Swarm Intelligence Symposium.

[3]  Sakti Prasad Ghoshal,et al.  Optimal design of 5.5 GHz CMOS LNA using hybrid fitness based adaptive De with PSO , 2017, 2017 International Electrical Engineering Congress (iEECON).

[4]  Rajib Kar,et al.  Optimization of Low Noise Amplifier using Particle Swarm Optimization , 2016, 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT).

[5]  Nazneen Izyana.  ! ∀ Blockin Blockin Blockin∀ #∀ , 2002 .

[6]  Kim-Fung Man,et al.  Computational Optimization Algorithms for Antennas and RF/Microwave Circuit Designs: An Overview , 2012, IEEE Transactions on Industrial Informatics.

[7]  D.J. Allstot,et al.  Parasitic-aware RF IC design , 2003, ASIC, 2003. Proceedings. 5th International Conference on.

[8]  Mourad Loulou,et al.  Optimizing CMOS LNA circuits through multi-objective meta heuristics , 2010, 2010 XIth International Workshop on Symbolic and Numerical Methods, Modeling and Applications to Circuit Design (SM2ACD).

[9]  David J. Allstot,et al.  RF circuit synthesis using particle swarm optimization , 2004, 2004 IEEE International Symposium on Circuits and Systems (IEEE Cat. No.04CH37512).

[10]  Ashudeb Dutta,et al.  PSO optimized concurrent dual-band LNA with RF switch for better inter-band isolation , 2010, Proceedings of Papers 5th European Conference on Circuits and Systems for Communications (ECCSC'10).

[11]  Sadık Ülker,et al.  Enhanced leader particle swarm optimization for microwave matching networks , 2017, 2017 9th International Conference on Computational Intelligence and Communication Networks (CICN).

[12]  Salih Demirel,et al.  Particle swarm intelligence use in feasible design target space of a microwave transistor for a wide-band output-stage requirements , 2012, 2012 IEEE International Conference on Ultra-Wideband.