ANOPTIMIZED ARCHITECTURE FOR ADAPTIVE DIGITAL FILTER

In this paper, we propose an efficient adaptive FIR filter architecture using a single multiplier and adder irrespective of number taps using the concept of time sharing multiplier architecture. For efficient optimization of multiplier architectures, Output Product Coding and parallel pipelined multiplier are applied. The proposed Adaptive FIR filter architecture is implemented for 32-tap using Verilog and synthesized using XILINX VIRTEX-5 FPGA device. The results are validated using FPGA in Loop (FIL), where simulation is done using MATLAB/Simulink-xPC target tool box. This design provides substantial area reduction compared to the conventional Adaptive FIR filter architectures for the FPGA implementation. The proposed Adaptive FIR filter supports up to 323 MHz input sampling frequency for FPGA implementation.