Abstract
In this paper, an optimal sizing of a cascode short-channel CMOS low noise amplifier (LNA) with inductive source degeneration by using the ant colony optimization (ACO) and the artificial bee colony (ABC) techniques is presented. The reason for employing this proposed topology is to provide a high conversion gain and improved noise figure (NF) at the operating frequency of 2.3 GHz. In order to validate the obtained results by ACO and ABC techniques, the advanced design system (ADS) simulator is used for this purpose using 90 nm CMOS technology.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Xiaoyu, J.: Optimization of Short-Channel RF CMOS Low Noise Amplifiers by Geometric Programming. Electrical Engineering Theses. Paper 15 (2012)
Reeves, C.R.: Modern Heuristic Techniques for Combinatorial Problems. Blackwell Scientific Publications, Oxford (1993)
Glover, F.: Tabu search-part II. ORSA J. Comput. 2(1), 4–32 (1990)
Grimbleby, J.B.: Automatic analogue circuit synthesis using genetic algorithms. IEEE Proc.-Circuits, Dev. Syst. 147(6), 319–323 (2000)
Aarts, E., Lenstra, K.: Local Search in Combinatorial Optimization. Princeton University Press, Princeton (2003)
Chan, F.T.S., Tiwari, M.K.: Swarm Intelligence: Focus on Ant and Particle Swarm Optimization. I-Tech Education and Publishing (2007)
Benhala, B., Pereira, P., Sallem, A. (eds.): Focus on Swarm Intelligence Research and Applications. Computer Science, Technology and Applications series. Nova Science Publishers, ISBN: 978-1-53612-452-1 (2017)
Fakhfakh, M., Cooren, Y., Sallem, A., Loulou, M., Siarry, P.: Analog circuit design optimization through the particle swarm optimization technique. J. Anal. Integr. Circuits Sign. Process. (2010)
Benhala, B.: Sizing of an inverted current conveyors by an enhanced ant colony optimization technique. In: The International Conference on Design of Circuits and Integrated Systems (DCIS 2016), November 23–25, (2016), Granada, Spain
Benhala, B.: An improved ACO algorithm for the analog circuits design optimization. Int. J. Circuits, Syst. Sign. Process. 10, 128–133 ISSN: 1998-4464 (2016)
Benhala, B., Bouyghf, H., Lachhab, A., Bouchikhi, B.: Optimal design of second generation current conveyors by the artificial bee colony technique. In: IEEE International Conference on Intelligent Systems and Computer Vision (ISCV’15), pp. 1–5, March 25–26 (2015), Fez, Morocco
Bouyghf, H., Benhala, B., Raihani, A.: Optimal design of RF CMOS circuits by means of an artificial bee colony technique (Chap. 11). In: Benhala, B., Pereira, P., Sallem, A. (eds.) Focus on Swarm Intelligence Research and Applications, pp. 221–246. NOVA Science Publishers, Inc. ISBN: 978-1-53612-452-1 (2017)
Dorigo, M., DiCaro, G., Gambardella, L.M.: Ant algorithms for discrete optimization. Artif. Life J. 5, 137–172 (1999)
Dac-Nhuong, L., et al.: Optimizing feature selection in video-based recognition using Max–Min Ant System for the online video contextual advertisement user-oriented system. J. Comput. Sci. 21, 361–370 (2017)
Bhateja, V., Tripathi, A., Sharma, A., Le, B.N., Satapathy, S.C., Nguyen, G.N., Le, D.N.: Ant colony optimization based anisotropic diffusion approach for despeckling of SAR images. In: International Symposium on Integrated Uncertainty in Knowledge Modelling and Decision Making, pp. 389–396. Springer, Cham (2016, November)
Jinhui, Y., Xiaohu, S., Maurizio, M., Yanchun, L.: An ant colony optimization method for generalized TSP problem. Prog. Nat. Sci. e18, 1417–1422 (2009)
Hung, K.K., Hu, P.K., Ko, C., Cheng, Y.C.: A physics-based MOSFET noise model for circuit simulators. IEEE Trans. Electronic Devices 37, 1323–1333 (1990)
Andreani, P., Sjoland, H.: Noise optimization of an inductively degenerated CMOS low noise amplifier. IEEE Trans. Circuits Syst. 48, 835–841 (2001)
Hoe David, H.K., Xiaoyu, J.: The Design of Low Noise Amplifiers in Deep Submicron CMOS Process: A Convex Optimization Approach. Hindawi Publishing Corporation VLSI Design, ID 312639 V (2015)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Abi, S., Bouyghf, H., Benhala, B., Raihani, A. (2020). An Optimal Design of a Short-Channel RF Low Noise Amplifier Using a Swarm Intelligence Technique. In: Bhateja, V., Satapathy, S., Satori, H. (eds) Embedded Systems and Artificial Intelligence. Advances in Intelligent Systems and Computing, vol 1076. Springer, Singapore. https://doi.org/10.1007/978-981-15-0947-6_14
Download citation
DOI: https://doi.org/10.1007/978-981-15-0947-6_14
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-15-0946-9
Online ISBN: 978-981-15-0947-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)