Distributed arithmetic LMS adaptive filter implementation without look-up table

Abstract

This paper presents an implementation of least mean squared (LMS) adaptive filter using distributed arithmetic (DA) for hardware realization. Coefficient-distributive DA will be used instead of conventional DA for more appropriation to use with adaptive filter that filter coefficients are varied by time. Moreover, adder network and multiplexer structure will be used in coefficient-distributive DA which makes the proposed LMS adaptive filter be multiplierless digital filter and also without using look-up table (LUT). The VHDL is used for hardware design and then synthesis and configure onto FPGA for real-time adaptive filtering experiment. Finally, experimental and simulation results are shown to ensure our proposed LMS adaptive filter can work. © 2012 IEEE.