Hari Krishnan S, and Mr. S. Sadiqvali
Enhancing Signal Processing Efficiency in Software-Defined Radio Using Distributed Arithmetic and Look-Up Table-Based FIR Filters
To meet the requirements of the wireless communication industry, digital communication systems require increasingly advanced coding and modulation technologies. Software-Defined Radio enables these advanced ideas to be easily adopted by such systems. The Finite Impulse Response filter is frequently used in wireless communication to pre-process detected signals to reduce noise by utilizing delay elements, multipliers, and adders. Traditional multiplier-based finite impulse response filter designs result in hardwareintensive multipliers that use a lot of space and energy and pose poor calculation speeds and low performance in throughput and latency. To overcome the existing issues, a novel Distributed Arithmetic with a Look Up Table-based FIR filter is proposed, which reduces the Bit Error Rate and latency and improves throughput by optimizing the channel equalizer as a crucial part of Software Defined Radio applications. Further, a key feature named the decimation factor is incorporated to dynamically alter the filter's output frequency response without altering the filter coefficients. Moreover, the worst-case critical route latency of partial product accumulation is reduced using a highly adaptable Parallel Prefix Adder. Additionally, the finite impulse response filters are integrated to decrease the number of Look-Up Tables, thereby saving time and memory. It also investigates the filter efficiency using faster multipliers and adders and validates it on an Artix-7 FPGA. As a result, the proposed model improved the filter’s performance over the other existing designs by achieving an operating speed of 260 MHz, delay of 190 ps, power dissipation of 1 m mW and throughput of 938.12 Mbps with the number of Look-Up Tables being 16504.
DOI: 10.36244/ICJ.2024.4.3
Please cite this paper the following way:
Hari Krishnan S, and Mr. S. Sadiqvali , "Enhancing Signal Processing Efficiency in Software-Defined Radio Using Distributed Arithmetic and Look-Up Table-Based FIR Filtersn", Infocommunications Journal, Vol. XVI, No 4, December 2024, pp. 18-32., https://doi.org/10.36244/ICJ.2024.4.3