dc.contributor.author | Mahmutoğlu, Yiğit | |
dc.contributor.author | Türk, Kadir | |
dc.contributor.author | Tuğcu, Emin | |
dc.date.accessioned | 2020-12-19T19:55:56Z | |
dc.date.available | 2020-12-19T19:55:56Z | |
dc.date.issued | 2016 | |
dc.identifier.citation | Mahmutoglu, Y., Turk, K. & Tugcu, E. (2016). Particle swarm optimization algorithm based decision feedback equalizer for underwater acoustic communication. 2016 39Th International Conference on Telecommunications and Signal Processing (Tsp), 153-156. | en_US |
dc.identifier.isbn | 978-1-5090-1288-6 | |
dc.identifier.uri | https://hdl.handle.net/11436/2633 | |
dc.description | 39th International Conference on Telecommunications and Signal Processing (TSP) -- JUN 27-29, 2016 -- Vienna, AUSTRIA | en_US |
dc.description | WOS: 000390164000031 | en_US |
dc.description.abstract | In this paper, we proposed particle swarm optimization (PSO) algorithm based adaptive decision feedback equalizer (DFE) for underwater acoustic communication (UWAC). in the literature, although ocean ambient noise is generally modeled as pink Gaussian noise, there is also site-specific ocean noise which can be modeled as pink Laplace noise. in this study we consider both noises. Rayleigh distributed, frequency selective fading channels (as UWAC channel) with Laplacian and Gaussian distributed, pink noise are considered. Unlike recursive least squares (RLS) and least mean squares (LMS) algorithms, PSO is independent from channel characteristics and has faster convergence. To the best of our knowledge PSO algorithm has not been used for adaptive DFE over UWAC channel. the communication performances and computational complexities of LMS, RLS and PSO based adaptive DFEs are compared. Although PSO has the highest computational complexity, our simulation results show PSO-DFE outperforms the other algorithms. | en_US |
dc.description.sponsorship | IEEE Reg 8, IEEE Austria Sect, IEEE Czechoslovakia Sect, IEEE Czechoslovakia Sect SP CAS COM Joint Chapter, IEEE Croatia Sect, Communicat Chapter, Brno Univ Technol, Dept Telecommunicat, Budapest Univ Technol & Econ, Dept Telecommunicat & Media Informat, Karadeniz Tech Univ, Dept Elect & Elect Engn, W Pomeranian Univ Technol, Fac Elect Engn, VSB Tech Univ Ostrava, Dept Telecommunicat, Slovak Univ Technol, Inst Telecommunicat, Univ Ljubljana, Lab Telecommunicat, Czech Tech Univ Prague, Dept Telecommunicat Engn, Univ Osijek, Fac Elect Engn, Tech Univ Sofia, Fac Telecommunicat, Seikei Univ, Grad Sch & Fac Sci & Technol, Informat Networking Lab | en_US |
dc.language.iso | eng | en_US |
dc.publisher | Ieee | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Acoustic communication | en_US |
dc.subject | Decision feedback equalizer | en_US |
dc.subject | Laplacian pink noise | en_US |
dc.subject | Particle swarm optimization | en_US |
dc.subject | Under-water | en_US |
dc.title | Particle swarm optimization algorithm based decision feedback equalizer for underwater acoustic communication | en_US |
dc.type | conferenceObject | en_US |
dc.contributor.department | RTEÜ, Mühendislik ve Mimarlık Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü | en_US |
dc.contributor.institutionauthor | Mahmutoğlu, Yiğit | |
dc.identifier.startpage | 153 | en_US |
dc.identifier.endpage | 156 | en_US |
dc.relation.journal | 2016 39Th International Conference on Telecommunications and Signal Processing (Tsp) | en_US |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |