Title: A soft processor MicroBlaze-based adaptive power line interference canceller for biomedical signal processing
Authors: Abhay Kasetwar; Sanjay Gulhane; Vicky Butram
Addresses: Department of Electronics and Telecommunication, S.B Jain Institute of Technology, Management and Research, Nagpur, Maharashtra, India ' Department of Electronics and Telecommunication, Pravara Rural Engineering College, Loni, Ahmednagar, India ' Department of Electronics, Ramdeobaba University, Nagpur, Maharashtra, India
Abstract: In this work, two different adaptive algorithms for PLI removal; PID-based response adjustment for reducing error (PID-RARE) and PID-based coefficient adjustment for reducing error (PID-CARE) proposed in the literature are tested for their hardware compatibility and accuracy. FPGA-based biomedical signal processing systems have great computational speed and low power consumption, but typical HDL programming is time-consuming. New high-level programming tools for FPGA design, including SOC solutions, make development easier while retaining performance. The MicroBlaze is considered as innovative platform for developing an adaptive power line interference canceller. Here PID-CARE and PID-RARE algorithms are implemented on FPGA using soft-core processor based on MicroBlaze platform. The performances of the implemented algorithms are evaluated on the basis of output signal to noise ratio (SNRout), correlation coefficient (CC), mean square error (MSE) and percent root mean square difference (PRD). Finally hardware and software results are compared for justifying hardware compatibility and accuracy.
Keywords: power line interference; PLI; adaptive algorithm; PID; NSLMS; PID-based response adjustment for reducing error; PID-RARE; PID-based coefficient adjustment for reducing error; PID-CARE; MicroBlaze; field programmable gate array; FPGA.
DOI: 10.1504/IJSCC.2025.144543
International Journal of Systems, Control and Communications, 2025 Vol.16 No.1, pp.33 - 44
Accepted: 04 Nov 2024
Published online: 18 Feb 2025 *