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An improved ToA estimation in compressed sensing-based UWB systems

Since the first arrival path may not be the strongest path of UWB (Ultra Wide Band) multipath channels, this makes ToA (Time-of-Arrival) estimation becomes a challengeable issue. Furthermore, because of ultra bandwidth of received signal, CS (Compressed Sensing) theory is employed to reduce the complexity caused by very high Nyquist sampling rate in UWB receivers. In this paper, we propose a ToA estimation scheme provides precise estimation performance, while exploiting the benefits of CS-based UWB receivers. Simulation results show that the proposed scheme can outperform other low complexity schemes in a wide range of signal-to-noise ratios.