Microstrip Low-Pass Elliptic Filter Design Based on Implicit Space Mapping Optimization

Saeed Tavakoli, Mahdieh Zeinadini, Shahram Mohanna
DOI: 10.4236/ijcns.2010.35061                

Abstract

It is a time-consuming and often iterative procedure to determine design parameters based on fine, accurate but expensive, models. To decrease the number of fine model evaluations, space mapping techniques may be employed. In this approach, it is assumed both fine model and coarse, fast but inaccurate, one are available. First, the coarse model is optimized to obtain design parameters satisfying design objectives. Next, auxiliary parameters are calibrated to match coarse and fine models’ responses. Then, the improved coarse model is re-optimized to obtain new design parameters. The design procedure is stopped when a satisfactory solution is reached. In this paper, an implicit space mapping method is used to design a microstrip low-pass elliptic filter. Simulation results show that only two fine model evaluations are sufficient to get satisfactory results.

Keywords

Implicit Space Mapping Optimization, Microstrip Low-Pass Elliptic Filter, Surrogate Model

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	J. W. Bandler, R. M. Biernacki, S. H. Chen, P. A. Grobe- lny and R. H. Hemmers, “Space Mapping Technique for Electromagnetic Optimization,” IEEE Transactions on Microwave Theory and Techniques, Vol. 42, No. 12, 1994, pp. 2536-2544.
[2]	J. W. Bandler, Q. S. Cheng, S. A. Dakroury, A. S. Moh- amed, M. H. Bakr, K. Madsen and J. Søndergaard, “Space Mapping: the State of the Art,” IEEE Transac- tions on Microwave Theory and Techniques, Vol. 52, No. 1, 2004, pp. 337-361.
[3]	J. W. Bandler, Q. S. Cheng, N. K. Nikolova and M. A. Ismail, “Implicit Space Mapping Optimization Exploiting Preassigned Parameters,” IEEE Transactions on Microw- ave Theory and Techniques, Vol. 52, No. 1, 2004, pp. 378-385.
[4]	S. Koziel, Q. S. Cheng and J. W. Bandler, “Space Mapping,” IEEE Microwave Magazine, Vol. 9, No. 6, December 2008, pp. 105-122.
[5]	“Agilent Advanced Design System (ADS),” Ver. 2008A, Agilent Technologies, Santa Rosa, CA, 2008.
[6]	J. W. Bandler, Q. S. Cheng, D. H. Gebre-Mariam, K. Ma- dsen, F. Pedersen and J. Søndergaard, “EM-based Sur- Rogate Modeling and Design Exploiting Implicit, Fre- quency and Output Space Mappings,” IEEE MTT-S Inter- national Microwave Symposium Digest, Philadelphia, 2003, pp. 1003-1006.
[7]	M. C. V. Ahumada, J. Martel and F. Medina, “Design of Compact Low-Pass Elliptic Filters Using Double-Sided MIC Technology,” IEEE Transactions on Microwave Theory and Techniques, Vol. 55, No. 1, January 2007, pp. 121-127.