An FSM‐Enabled Reconfigurable Debugging Approach for Area‐Optimized FIR Filters on FPGA Platforms

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Authors: Murali Anumothu, G. M. Anitha Priyadarshini, Ch. Hima Bindu, Rajanikanth Aluvalu, Sai Prashanth Mallellu, Pankaj Kumar, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad
Cited by: 1
References: 16

Abstract

This work introduces a novel method to improve hardware debugging efficiency and decrease computing time by employing a finite state machine (FSM)‐based reconfigurable buffer insertion strategy for optimizing field‐programmable gate array (FPGA) performance. The proposed strategy greatly enhances the debugging process by offering a systematic approach for error discovery, so ensuring that the FPGA functions with diminished complexity and increased dependability. Additionally, a reconfigurable decision tree generation (DTG)‐finite impulse response (FIR) filter design is shown to optimize circuit area, resulting in a decrease in the quantity of stored memory look‐up tables (LUTs). The substantial enhancement in power efficiency and area attained by using 4 LUTs in place of 6 LUTs. This work executes and verifies the register‐transfer level (RTL) functionality by operating with 16 taps. This idea depends on the usage of an FSM controller for the utilization of a common buffer. This buffer eliminates the usage of 16 distinct buffers by sharing all 16 taps in order to identify errors. With this approach, the simplified design and overall efficiency are improved. This approach achieves improved debug capabilities with a single common buffer by eliminating usage of multiple buffers. The hardware complexity of the circuit is decreased substantially by using this proposed model. This model proves that the suggested FSM‐based buffer insertion and reconfigurable FIR filter design improve computational efficiency and FPGA area optimization, positioning it as a viable alternative for forthcoming FPGA‐based designs.

Fields of Study & Subjects

Radiation Effects in Electronics Embedded Systems Design Techniques Numerical Methods and Algorithms

Publication details

Journal / source
IET Circuits Devices & Systems
Publisher
Institution of Engineering and Technology (IET)
Volume
2026
Issue
1
Publication date
1 January 2026
Language
EN