Robust Phase Difference-Based Spectrum Sensing Under Impulsive Noise and Noise Uncertainty

In this work, we delve into the performance of the recently proposed cosine feature recognition detection (CRD) spectrum sensing technique, which leverages the phase difference distribution of the received signal. The analysis takes into account impulsive noise (IN) and noise uncertainty (NU), both of which are well-known factors that degrade communication system performance. The conventional energy detector (ED) approach serves as a benchmark for comparison. The simulation results indicate that the CRD technique achieves near-perfect robustness in the presence of IN and excellent performance under NU, whereas the performance of ED is drastically degraded under these harsh conditions. These findings provide valuable insights into the trade-offs between detection complexity and robustness, contributing to the design of more reliable spectrum sensing systems for cognitive radio networks.