NDLI: Enhanced cognition-driven formulation of space mapping for equal-ripple optimisation of microwave filters

Content Provider	IET Digital Library
Author	Zhang, Chao Feng, Feng Zhang, Qi Jun Bandler, John W.
Abstract	A recently introduced cognition-driven formulation of space mapping (SM) is an efficient method for equal-ripple optimisation of microwave filters. Feature frequency parameters and ripple height parameters are utilised. The technique requires the assumption that the initial number of feature parameters is correct, and uses an equally divided passband specification as a preliminary target. The present study proposes an enhanced technique which can correct the number of feature frequency parameters, thus it can work well even if the filter response of the initial point has an incorrect number of feature frequency parameters. Additionally, the enhanced technique incorporates filter design knowledge of the Chebyshev filter function into cognition-driven SM. The authors propose to use the feature frequency parameters of the Chebyshev filter function response curve to obtain the target for cognition-driven SM. A new trust region mechanism handles new parameters in the proposed process of correcting the number of feature frequency parameters and guarantees convergence. The technique is suitable for the design of filters with equal-ripple responses. It is illustrated by two microwave filter examples.
Starting Page	82
Ending Page	91
Page Count	10
ISSN	17518725
Volume Number	12
e-ISSN	17518733
Issue Number	Issue 1, Jan (2018)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-map/12/1
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-map.2017.0238
Journal	IET Microwaves, Antennas & Propagation
Publisher	The Institution of Engineering and Technology
Publisher Date	2017-09-13
Access Restriction	Open
Rights License	Creative Commons Attribution -Non Commercial License (http://creativecommons.org/licenses/by-nc/3.0/)
Subject Keyword	Band-pass Filter Chebyshev Filter Chebyshev Filter Function Cognition Cognition-driven SM Enhanced Cognition-driven Formulation Equal-ripple Optimisation Equally Divided Passband Specification Feature Frequency Parameter Filter And Other Network Microwave Circuit And Device Microwave Filter Optimisation Optimisation Technique Ripple Height Parameter Space Mapping
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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