Abstract
High accurate estimation of time delay (TD) is required in many applications, e.g., source localization. The recently proposed method based on multi-subband signals (MSS) considers the situation that a source emits or reflects multiple bandpass signals with different center frequencies. It performs magnitude-level higher TD estimation accuracy than the existing methods. This paper will conduct a deeper investigation on the MSS-based TD estimation. We first derive two approaches to estimate TD, which process the MSS by coherent and noncoherent processing. Then the performance of these two processing methods is analyzed through Cramer-Rao bound (CRB). A brief discussion compares the coherent CRB, noncoherent CRB and traditional CRB. Theoretical result and numerical simulations validate both coherent and noncoherent methods can improve the accuracy of TD estimation. The coherent method lowers the root-mean-square error (RMSE) over 90% compared to the noncoherent method, while the noncoherent method has a higher signal-to-noise ratio (SNR) threshold tolerance.
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