Efficient Adaptive Algorithm Technique for Acoustic Echo Cancellation

다국어 초록 (Multilingual Abstract)

The adaptive decision feedback equalizer (ADFE), which makes use of the regenerative effect of the non-linear decision device is an effective means for equalizing the channels that exhibit spectral nulls. A common problem faced by the ADFE is that with increasing data transmission rate, the channel IR length increases and thus the orders of both the FFF and the FBF increase. The resulting increase in complexity makes the real time operation of the ADFE difficult, especially in view of simultaneous shortening of the symbol period, which means that lesser and lesser time will be available to carry out the computations while the volume of computation goes on increasing. Since it has been reported that substantial echo cancellation leads to increased system quality and capacity, this paper proposes different sign LMS based ADFEs to cancel the echo signal. The Signed-Regressor LMS gives better performance in terms of their figure of merits compared to the normal LMS and other signed based ADFEs.

목차 (Table of Contents)

• Abstract
• 1. Introduction
• 2. Computationally Efficient Adaptive Filter for Acoustic Echo Cancellation
• 2.1. The Least Mean Square (LMS) Algorithm
• 2.2. The Signed-Regressor LMS (SRLMS) Algorithm:
• 2.3. The Signed LMS (SLMS) Algorithm
• 2.4. The Sign-Sign LMS (SSLMS) Algorithm
• 2.5. Figure of Merits
• 3. Matlab Simulations
• 4. Computational Complexity Issues
• 5. Conclusions
• References