Abstract
In this paper, new signal-selective methods for the estimation of time-difference-of-arrival in the presence of interfering signals and non-Gaussian symmetric α-stable impulsive noise are introduced. First, the performance degradation of the conventional approaches based on second-order cyclic statistics is presented. Then, two new classes of robust algorithms are developed using the theory of stable distributions and the cyclostationary property, including the pth-order cyclostationarity methods and the fractional lower-order cyclostationarity methods. It is shown that these new methods are tolerant to interference and robust in both Gaussian and non-Gaussian impulsive noise environments. The improved performance is demonstrated through detailed theoretical analysis and simulations.
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