Sub-Optimal Receiver Design for Digital Communication Under Skewed Alpha-Stable Noise
Oktay Cirak, Mehmet Emre Çek · 2022 30th Signal Processing and Communications Applications Conference (SIU) · 2022
In this study, it is proposed a receiver design for binary signal detection problem under non-Gaussian noise having nonzero skewness modelled by skewed alpha-stable distribution. Since the additive noise in the channel is conventionally assumed to have symmetrical distribution, the degradation effect of skewness on the error performance is shown by computer simulations. To overcome this problem, it is proposed to add intentional (artificial) noise having opposite skewness at the receiver in order to symmetrize the skewness of the channel noise. In addition to symmetrizing the noise at the receiver, it is determined how to adjust the parameters of the intentional noise in order to achieve optimum level of the performances of the sub-optimal detectors and it is shown that the simulation results confirm the theoretical results. Subsequently, it is observed that the sub-optimal detectors can attain bit error rate which is close to the performance under symmetric alpha-stable noise.