FPGA Based Least Mean Square Algorithm for noise cancellation in communication System
Keywords:
Least Mean Square (LMS) Algorithm, Distributed Algorithm(DA), Adaptive Filter, Field Programmable Gate array(FPGA), throughput, efficiency, convergence rate, power analysis, Look up Table(LUT), convergence matrix, interference signal.Abstract
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 design has also been done to show the effectiveness of the
algorithm.
