FIR Filter Design Using Distributed Arithmetic with Lookup Tables (LUTs)

Digital filters are essential for many signal processing applications. They can selectively pass or block certain frequency bands. Traditionally, they are implemented in Digital Signal Processors (DSPs), depending on the response of the system, digital filters can be divided into Finite Impulse Response (FIR) and Infinite Impulse Response (IIR). FIR filters are especially critical in signal processing applications, but implementing them using multipliers and adders can be resource-intensive and require significant amounts of space when implemented in FPGA. To address these challenges, FIR filters often employ the Distributed arithmetic (DA) algorithm to improve speed and reduce the filter’s area. This paper presents a new method for designing a low-power filter that supports pipelining and parallel processing using DA. By leveraging these techniques, the filter achieves less delay time, high-speed processing, and an efficient architecture in terms of area and power consumption. The newly proposed Distributed arithmetic algorithm used in this design is high performance and well-suited for low-power filter applications.