Impulsive noise is the major impairment in power-line communication (PLC) systems. This thesis focuses on improving performance of broadband PLC systems by proposing several impulsive noise detection and mitigation techniques, including deep clipping, linear combination of nonlinear pre-processors, joint nonlinear pre-processor and peak-to-average power ratio reduction, and sparsity based mitigation. Compared with alternative techniques in the literature, analytical and simulation results demonstrated that the proposed techniques can achieve much better performance, in terms of both Signal-to-Noise Ratio and Bit Error Rate.
|Qualification||Doctor of Philosophy|
|Award date||9 Dec 2016|
|Publication status||Unpublished - 2016|