One step predictor extended Kalman filter in heavily clamorous system: A strategic approach of noise reduction

Author

Islam, A.K.M.K. ; Haque, Md Anamu

Author_Institution

Dept. of Comput. Sci. & Eng., IUBAT-Int. Univ. of Bus. Agric. & Technol., Dhaka, Bangladesh

fYear

2011

fDate

22-24 Dec. 2011

Firstpage

370

Lastpage

375

Abstract

Since its invention, Kalman filter hit the crux of numerous innovation and successful endeavor in unwanted signal reduction. However, it is still to reveal the conducts and performance of extended Kalman filter in heavily noisy wireless signal. Due to the state space concept it conveys superior performance in adaptability over any RLS (Recursive Least Square) filter. In this context, the constitution of extended Kaman filter and its behavior in a rigorous noisy acoustic echo environment is established. Considering several parameters, the result and observed data is also analyzed and compared with NLMS.

Keywords

Kalman filters; echo suppression; least mean squares methods; nonlinear filters; signal denoising; RLS filter; noise reduction; noisy wireless signal; predictor extended Kalman filter; recursive least square filter; rigorous noisy acoustic echo environment; state space concept; unwanted signal reduction; Predictor-corrector algorithm; near and far-end signal and Kalman equation;

fLanguage

English

Publisher

ieee

Conference_Titel

Computer and Information Technology (ICCIT), 2011 14th International Conference on

Conference_Location

Dhaka

Print_ISBN

978-1-61284-907-2

Type

conf

DOI

10.1109/ICCITechn.2011.6164816

Filename

6164816