Frequency Estimation of Distorted Signal using Recursive Least Square Filter
Bibhu Prasad Ganthia1, Abha Pragati2, Sourava Sahoo3, Lipsa Ray4
1Bibhu Prasad Ganthia, Assistant Professor, Department of Electrical Engineering, IGIT, Sarang, Dhenkanal, Odisha, India.
2Abha Pragati, M.Tech Research Scholar, Department of Electrical Engineering, IGIT, Sarang, Dhenkanal, Odisha, India.
3Sourava Sahoo, M.Tech Research Scholar, Department of Electrical Engineering, IGIT, Sarang, Dhenkanal, Odisha, India.
4Lipsa Ray, M.Tech Research Scholar, Department of Electrical Engineering, IGIT, Sarang, Dhenkanal, Odisha, India.
Manuscript received on 25 August 2019. | Revised Manuscript received on 05 September 2019. | Manuscript published on 30 September 2019. | PP: 1074-1078 | Volume-8 Issue-11, September 2019. | Retrieval Number: J11730881019/2019©BEIESP | DOI: 10.35940/ijitee.J1173.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Frequency is an important operating parameter in electrical power system. The operating frequency is not always constant as it varies due to sudden change in generation-load mismatches. In case of load shedding, load- frequency controller requires fast and accurate estimation of frequency. The frequency also influences the functions of different relays. So here the frequency estimation study was performed for the voltage or current signal in presence of noise and disturbances. In this paper Recursive Least Square (RLS) Filter is studied and its frequency estimations are discussed.
Keywords: Adaptive Filters, RLS, LMS, DFT, Frequency Estimation.
Scope of the Article: Frequency Selective Surface