Open AccessFPGA based least mean square algorithm for noise cancellation in communication system
Author(s) -
P Nikhila Reddy,
Baswaraj Gadgay
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i2.32.15588
Subject(s) - adaptive filter , least mean squares filter , computer science , lookup table , filter (signal processing) , multidelay block frequency domain adaptive filter , field programmable gate array , algorithm , kernel adaptive filter , active noise control , filter design , noise (video) , throughput , computer hardware , artificial intelligence , telecommunications , computer vision , image (mathematics) , wireless , programming language
We present modified Distributed Arithmetic (DA) based architecture for LMS Adaptive filter which has improved the throughput of the filter also area and power has been comparatively been reduced. As we know, the adaptive filter uses continuous recalculation and generation of new coefficients will generate the negative effect on the use of algorithm. We have used a special temporary LUT addressing technique has overcome the issues resulting in better performance and good results. In this paper, we have discussed about the adaptive filter and implementation of DA adaptive filter and also discussed the results obtained from the design. Comparison with traditional de-sign has also been done to show the effectiveness of the algorithm.