Abstract
This study presents a new algorithm for cancelling the acoustic echo, which is a major problem for hands- free communications. The proposed adaptive Acoustic Echo Canceller algorithm is designed and developed using a digital signal processing technique in frequency domain. The main scope of this study is to implement this module, benefiting the advantage of circular convolution properties and Fast Fourier Transform (FFT) with high computation speed in frequency domain rather than adaptive algorithms Normalized Least Mean Square (NLMS) and Recursive Least Square (RLS) in time domain with high complexity, also the simplicity of the implementation using SIMULINK programming. The results obtained at the simulation level prove the module behavior for cancellation of echo for hands free communications using adaptive algorithm frequency domain. Nevertheless, our algorithm shows more performances in terms of convergence and complexity. Our algorithm has been verified using the ERLE criteria to measure the attenuation of the echo signal at the output of an AEC; at this level we obtained the best values according to IUT-T recommendation G.168.
Highlights
Adaptive filtering technique has emerged as an important technology for hands free communications
We propose a Robust Adaptive Acoustic Echo Cancellation (AEC) for Hands-Free Communications using a Low Computational Cost Algorithm in Frequency Domain
The proposed AEC is modeled in SIMULINK environment by using digital filters, especially adaptive Fast Least Mean Square (FLMS) algorithm based Fast Fourier Transform (FFT)\IFFT operations and circular convolution frequency domain that require approximately Nlog2N real multiplications and reduce the computational complexity compared to LMS adaptive algorithms modeled and implemented by Wahbi et al (2013), Normalized Least Mean Square (NLMS) (Chinaboina et al, 2011; Rajesh and Sumalatha, 2012; Alam et al, 2011) and Recursive Least Square (RLS) (Munjal et al, 2008; Kourav and Soni, 2011) adaptive algorithms, which deal with time domain based on a linear convolution
Summary
Adaptive filtering technique has emerged as an important technology for hands free communications. The proposed AEC is modeled in SIMULINK environment by using digital filters, especially adaptive Fast Least Mean Square (FLMS) algorithm based FFT\IFFT operations and circular convolution frequency domain that require approximately Nlog2N real multiplications and reduce the computational complexity compared to LMS adaptive algorithms modeled and implemented by Wahbi et al (2013), NLMS (Chinaboina et al, 2011; Rajesh and Sumalatha, 2012; Alam et al, 2011) and RLS (Munjal et al, 2008; Kourav and Soni, 2011) adaptive algorithms, which deal with time domain based on a linear convolution.
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