Low Complexity TOA Estimation for Impulse Radio UWB Systems

this paper, we consider TOA estimation baased on symbol rate samples that are obtained after a square-law device. Signal conditioning techniques based on wavelets and a bank of cascaded multi-scale energy collection filters are introduced, where correlations across multiple scales are exploited for edge and peak enhancements towards a more accurate detection. An adaptive threshold selection approach based on the minimum and maximum values of the energy samples is introduced, and optimal values of the thresholds for different signal to noise ratios (SNRs) are investigated via simulations. Theoreticaal closed form expressions are derived for mean absolute TOA estimation error, and compared with simulation