Compressive sensing for blind NBI mitigation in UWB systems

Ultra-wideband (UWB) radios are candidates for high data rate and power-constrained applications such as wireless sensor and body area networks. Compressive sensing (CS) is a promising signal processing solution which can reduce the sampling requirements as well as avoid the narrowband interference (NBI) in UWB systems by utilizing the sparsity of the transmitted signal. In this paper, we investigate the BER performance for mitigation of multiple NBI in CS based UWB systems. Simulation shows that at high signal to interference ration (SIR), the performance enhances as the bandwidth of the NBI increases. As the UWB signal's bandwidth increases, the number of the notched measurements lessens and we preserve the important information about the transmitted pulse. Additionally, the bandwidth occupied by the NBI relative to the center frequency of the transmitted pulse determines the amount of the degradation in the performance. In addition, the paper studies the impact of the transmitted pulse shape.