Modified Variable Step Size Normalized Least Means Square Algorithm in The Context of Acoustic Echo Cancellation
Deman Kosale1, Anita Khanna2
1Deman Kosale, Assistant engineer in BHEL, Bhopal, India.
2Anita Khanna, Assistant Professor Processor in Guru Ghasi Das Central University Bilaspur, India
Manuscript received on November 01, 2012. | Revised Manuscript received on November 02, 2012. | Manuscript published on November 05, 2012. | PP: 167-173 | Volume-2 Issue-5, November 2012. | Retrieval Number: E1035102512/2012©BEIESP
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© The Authors. Published By: 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: In this paper, we present a new approach to cancelling echoes, mostly occurrence in today’s telecommunication system due to acoustic coupling between loudspeaker and a microphone. The proposed algorithm is a Modified VSS-NLMS-UM algorithm the popularity of this algorithm due to the solve a conflicting requirement of fast convergence and low misadjustment. Most of the algorithm was design under-modeling scenario the proposed algorithm doesn’t require any prior information about acoustic environment. Due to the specific characteristic of this algorithm are equipped with good robustness feature against the near end signal variation and has a low computational complexity and low level data storage. So it’s a reliable candidate for real world application.
Keywords: Acoustic Echo Cancellation, Adaptive Filtering Algorithm (AFA), UMSI (Undermodeling System Identification).