Robust Clipping Noise Cancellation Based on Location-Aware Compressed Sensing

For OFDM systems, to cope with the remain problems of high complexity and low performance in conventional clipping noise cancellation methods, a robust scheme based on location-aware compressed sensing (CS) and phase correction is proposed in this paper. Based on CS theory, a simple and configurable selection criterion is utilized to choose reliable observations for the clipping noise reconstruction. The transceiver is redesigned to transmit both the data and the clipping location. With the aid of clipping location information and phase information from the receiver, the proposed scheme improves both the accuracy and computational complexity. Simulation results show that the proposed scheme achieves excellent performance even in low signal-to-noise ratio (SNR) environments. Besides, due to the low computational complexity and excellent adaptivity, the proposed scheme is more feasible in practical engineering applications than other CS-based methods.