FSRFT - Fast simplified real frequency technique via selective target data approach for broadband double matching
dc.authorid | 0000-0002-6706-7352 | |
dc.contributor.author | Köprü, Ramazan | en_US |
dc.date.accessioned | 2017-03-13T10:59:18Z | |
dc.date.available | 2017-03-13T10:59:18Z | |
dc.date.issued | 2017-02 | |
dc.department | Işık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.department | Işık University, Faculty of Engineering, Department of Electrical-Electronics Engineering | en_US |
dc.description.abstract | This brief introduces a broadband double-matching (DM) solver called fast simplified real frequency technique (FSRFT). FSRFT is essentially a greatly accelerated variant of the well-known classical simplified real frequency technique (SRFT). The basic idea that turns the classical SRFT into a 'fast' SRFT relies on two main approaches: the selective target data approach (STDA) and the constraint optimization approach (COA). STDA constructs an optimization target data set formed of only critically selected target data whose element number is equal to or slightly greater than the order of the system unknowns n plus 1, {n}+1. In order to exhibit speed performance comparison between SRFT and FSRFT, an example design is considered. An exemplary DM problem, dealing with an {n}=6th order low-pass Chebyshev-type equalizer design to match the given generator and load impedances, has been solved by SRFT within 29 s using 90 target data in a typical computer - e.g., Intel 2.20-GHz i7 CPU with 8-GB RAM. On the other hand, the same problem has been solved by the newly proposed FSRFT within only 0.6 s using only n+1=7 critically selected target data in the same computer. FSRFT introduced herein works in any domain, i.e., lumped, distributed, and mixed. | en_US |
dc.description.version | Publisher's Version | en_US |
dc.identifier.citation | Köprü, R. (2017). FSRFT-fast simplified real frequency technique via selective target data approach for broadband double matching. IEEE Transactions on Circuits and Systems II: Express Briefs, 64(2), 141-145. doi:10.1109/TCSII.2016.2557238 | en_US |
dc.identifier.doi | 10.1109/TCSII.2016.2557238 | |
dc.identifier.endpage | 145 | |
dc.identifier.issn | 1549-7747 | |
dc.identifier.issn | 1558-3791 | |
dc.identifier.issue | 2 | |
dc.identifier.scopus | 2-s2.0-85011661335 | |
dc.identifier.scopusquality | Q1 | |
dc.identifier.startpage | 141 | |
dc.identifier.uri | https://hdl.handle.net/11729/1195 | |
dc.identifier.uri | http://dx.doi.org/10.1109/TCSII.2016.2557238 | |
dc.identifier.volume | 64 | |
dc.identifier.wos | WOS:000395489200009 | |
dc.identifier.wosquality | Q2 | |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | Science Citation Index Expanded (SCI-EXPANDED) | en_US |
dc.institutionauthor | Köprü, Ramazan | en_US |
dc.institutionauthorid | 0000-0002-6706-7352 | |
dc.language.iso | en | en_US |
dc.peerreviewed | Yes | en_US |
dc.publicationstatus | Published | en_US |
dc.publisher | IEEE | en_US |
dc.relation.ispartof | IEEE Transactions On Circuits And Systems II-Express Briefs | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Algorithm design and analysis | en_US |
dc.subject | Broad band matching | en_US |
dc.subject | Broadband communication | en_US |
dc.subject | Broadband double-matching solver | en_US |
dc.subject | Broadband matching | en_US |
dc.subject | Chebyshev filters | en_US |
dc.subject | COA | en_US |
dc.subject | Constrained optimization | en_US |
dc.subject | Constraint optimization | en_US |
dc.subject | Constraint optimization approach | en_US |
dc.subject | Constraint optimizations | en_US |
dc.subject | Design | en_US |
dc.subject | Element numbers | en_US |
dc.subject | Equalizers | en_US |
dc.subject | Fast simplified real frequency technique | en_US |
dc.subject | Fast SRFT | en_US |
dc.subject | Frequency 2.2 GHz | en_US |
dc.subject | FSRFT | en_US |
dc.subject | Generators | en_US |
dc.subject | Impedance | en_US |
dc.subject | Impedance matching (electric) | en_US |
dc.subject | Ladder synthesis | en_US |
dc.subject | Load impedance | en_US |
dc.subject | Low-pass Chebyshev-type equalizer design | en_US |
dc.subject | Low-pass filters | en_US |
dc.subject | Matched filters | en_US |
dc.subject | Microwave-Amplifiers | en_US |
dc.subject | Network synthesis | en_US |
dc.subject | Networks | en_US |
dc.subject | Optimisation | en_US |
dc.subject | Optimization target data set | en_US |
dc.subject | Selective target data approach | en_US |
dc.subject | Simplified real frequency technique (SRFT) | en_US |
dc.subject | Simplified real frequency techniques | en_US |
dc.subject | Speed performance | en_US |
dc.subject | STDA | en_US |
dc.subject | Target data set | en_US |
dc.subject | Time 0.6 s | en_US |
dc.subject | Time 29 s | en_US |
dc.title | FSRFT - Fast simplified real frequency technique via selective target data approach for broadband double matching | en_US |
dc.type | Article | en_US |
dspace.entity.type | Publication |