Abstract
For the problem of estimation time-difference-of-arrival (TDOA) for cyclostationary signals in the presence of interference and impulsive noise, a new robust multi-cycle signal-selective algorithm is introduced. By fusing second-order cyclic moments and fractional lower-order statistics, a novel cyclic fractional lower-order statistics is developed. The proposed algorithm combines the benefits of cyclostationarity based method and fractional lower-order statistics based estimator, by exploiting cyclostationarity property of signals with cyclic fractional lower-order statistics. Simulation results indicate that the new method is highly tolerant to interference and impulsive noise and gives higher estimation accuracy than conventional TDOA estimation methods .
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