Author

  • Low Wen Shin

    • Universiti Malaysia Perlis, Malaysia
    • Malaysia
  • Neoh Siew Chin

    • Universiti Malaysia Perlis, Malaysia
    • Malaysia
  • Arjuna Marzuki

    • Universiti Sains Malaysia, Malaysia
    • Malaysia

Abstract

This research presents an optimization study of a 5 GHz Monolithic Microwave Integrated Circuit (MMIC) design using Particle Swarm Optimization (PSO). MMIC Low Noise Amplifier (LNA) is a type of integrated circuit device used to capture signal operating in the microwave frequency. This project consists of two stages: implementation of PSO using MATLAB and simulation of MMIC design using Advanced Design System (ADS). PSO model that mimics the biological swarm behavior is developed to optimize the MMIC design variables in order to achieve the required circuit performance and specifications such as power gain, noise figure, drain current and circuit stability factor. Simulation results show that the proposed MMIC design fulfills the circuit stability factor and achieves a power gain of 19.73dB, a noise figure of 1.15 dB and a current of 0.0467A.

Keywords

References

  • Bo, L. & Xia, P. H. (2009). A Hybrid PSO-DV Based Intelligent Method for Fault Diagnosis of Gear Box. Proceedings of the IEEE international Symposium on CIRA, 451-456.
  • Dong, C. J. & Qiu, Z. L. (2006). Particle Swarm optimization Algorithm Based on the Ideal Simulating Annealing. International Journal of Computer Science and network Security , 6, 152-156.
  • Gatta, F., Sacchi, E., Suelto, F., Vilmercati, P. & Castello, R. (2001). A2-dB noise figure 900-MHz differential CMOS LNA. IEEE J. Solid-State Circuits , 36, 1444-1452.
  • Ge, J. Y. & Mayaram, K. (1998). A Comparative Analysis of CMOS Low Noise Amplifiers for RF Applications. ISCAS , 4, 349-352.
  • Gil, J., Han, K. & Shin, H. (2003). 13 GHz 4.67 dB NF CMOS low noise amplifier. Elec. Letters , 39, 10561058.
  • Gupta, R. & Allstot, D. J. (1998). Parasitic-Aware Design and d to Optimizationof CMOS RF Integrated Circuits. IEEE MTT-S Int.Microwave Symposium , 3, 1867-1870.
  • Kennedy, J. & Eberhart, R. (1995). Particle swarm optimization. Proceedings of the IEEE International Conference on Neural Networks , 4, 1942-1948.
  • Lucek, J. & Damen, R. (1999). LNA Design for CDMA front end. RF Design, Intertec.
  • Marsh, S. (2006). Practical MMIC Design, Artech House.
  • Morad, N. (1997). Optimization of cellular manufacturing systems using genetic algorithms. Ph.D. dissertation, Univ. Sheffield, Sheffield, U.K., 1997.
  • Neoh, S. C., Marzuki, A., Morad, N., Lim, C. P. & Abdul- Aziz, Z. (2008). An Interactive Evolutionary Algorithm to MMIC Low Noise Amplifier Design. Innovative Computing, Information, and Control Express Letter, ICIC-EL.
  • Niknejad, A. M. & Meyer, R. G. (1998). Analysis, Design and Optimizationof Spiral Inductors and Transformers for Si RF ICs. IEEE J. Solid-State Circuits , 33, 1470-1481.
  • Nocedal, J. & Wright, S. J. (1999). Numerical Optimization, Springer-Verlag, New York, 1999.
  • Robertson, I. D. & Lucyszyn, S. (2001). RFIC and MMIC Design and Technology, IET Circuits, Devices, and System Series 13.
  • Tulunay, G. & Balkir, S. (2004). A Compact Optimization Methodology For Single Ended LNA. IEEE International Symposium on Circuits and Systems, 273-276.
  • Taris, T., Begueret, J. B., Lapuyade, H. & Deval, Y. (2003). A 1-V2GHz VLSI CMOS Low Noise Amplifier. RFIC Symposium, 123-126.
  • Vancorenland, P., Ranter, C. D., Steyaert, M. & Gielen, G. (2000). Optimal RF Design using Smart Evolutionary Algorithms. Design Automation Conf. 2000, 7-10.
  • Yang, J. T., Fan, H. P., Tsai, P. J. & Wu, M. J. (2009). A RF CMOS Low Noise Amplifier for WiMAX Applications. IEEE ISCIT 2009.

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How to Cite

Shin, L. W., Chin, N. S., & Marzuki, A. (2013). 5GHz MMIC LNA Design Using Particle Swarm Optimization. Information Management and Business Review, 5(6), 257-262. https://doi.org/10.22610/imbr.v5i6.1050

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Section

Research Paper

Published

2013-06-30

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