Efficient FPGA based architecture for high‐order FIR filtering using simultaneous DSP and LUT reduced utilization

Abstract

This paper proposes an efficient high-order finite impulse response (FIR) filter structure for field programmable gate array (FPGA)-based applications with simultaneous digital signal processing (DSP) and look-up-table (LUT) reduced utilization. The real-time updating of the filter coefficients is also put into perspective. In order to perform these objectives, both the speed and the structure of FPGA are efficiently exploited. The gap between the required input sampling frequency and the FPGA allowed maximum frequency is managed to achieve additional computing sequences. Furthermore, the special structures of the FPGA Look-up-table Shift-Register (LUT-SR) and their internal connections are fully employed for pipelining and selecting the input samples. The FPGA Block RAMs (BRAMs) are employed for handling the reconfigurable filter coefficients, and the FPGA DSP slices are associated for computing the output data of the BRAMs and the multiplexers. To synchronize the BRAM unit addressing with the LUT multiplexer selection, a single unit is used for simultaneous control. The obtained results show that the proposed reconfigurable 16tap FIR filter offers reductions of 79.3% and 74.4% of slice utilization over the hybrid variable size partitioning (VP-Hybrid) based structure and the Radix-2 r based structure, respectively when implemented on a Xilinx Spartan-6 XC6SLX45 FPGA. Moreover, an improvement of efficiency is achieved compared to all reputed FPGA-based architectures.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

Efficient FPGA Implementation of an RFIR Filter Using the APC–OMS Technique with WTM for High-Throughput Signal Processing

“…The most complex systems such as image processing and DSP applications are realized using the FIR filter as a basic tool because of its absolute stability as well as linear phase property [4]. In multimedia and mobile communication systems, the fastest and least difficult FIR filters are mostly used for various applications, such as: channel equalization, analog signal processing, filtering systems, and digital signal processing functions [5].…”