Title :
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
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;
Conference_Titel :
Computer and Information Technology (ICCIT), 2011 14th International Conference on
Conference_Location :
Dhaka
Print_ISBN :
978-1-61284-907-2
DOI :
10.1109/ICCITechn.2011.6164816
