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Design and experimental evaluation of a software-defined radio-based M-PSK transceiver for indoor narrowband power-line communication
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Design and experimental evaluation of a software-defined radio-based M-PSK transceiver for indoor narrowband power-line communication

Kenneth Chauke
M.Eng., University of Johannesburg
2026
Handle:
https://hdl.handle.net/10210/520742

Abstract

This dissertation presents the design and experimental evaluation of a software-defined radio (SDR) based M-ary Phase Shift Keying (M-PSK) transceiver for indoor narrowband power line communication (NB-PLC) systems. Impulsive noise is a common phenomenon in residential and industrial power line networks that affects the physical layer reliability, and this study will examine its impact. The focus is on two key performance measures: bit error rate (BER) and synchronization accuracy. A reconfigurable transceiver was developed using MATLAB and Simulink together with Universal Software Radio Peripheral (USRP) hardware. This setup enabled realistic hardware-inthe- loop testing under controlled laboratory conditions. The system supports 4-PSK, 8-PSK, and 16-PSK modulation schemes, allowing a direct comparison of spectral efficiency and noise robustness at different signal-to-noise ratios (SNRs). Synchronization was achieved using the Gardner non-data-aided timing recovery algorithm and a 13-bit Barker sequence for frame detection, ensuring consistency with standard NB-PLC frame structures. Experimental and simulation results show that impulsive noise causes both symbol errors and frame misalignments. Synchronization failures alone accounted for up to 80 percent of total bit errors under severe noise conditions. Theoretical and measured BER results under additive white Gaussian noise (AWGN) agreed closely, while real impulsive environments produced additional deviations that matched non-Gaussian noise characteristics. Higher-order modulations, such as 16-PSK, were found to be more sensitive to timing and phase disturbances, confirming the trade-off between spectral efficiency and system robustness. The research contributes a validated SDR-based testbed for NB-PLC analysis, a dual-metric framework linking BER and synchronization reliability, and practical insights for improving synchronization under impulsive noise. The findings support the use of adaptive thresholding, longer preambles, and lightweight error-control coding to improve the resilience of real-world NB-PLC systems.
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