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In this paper, we present a new time delay estimator for multipath environments using the importance sampling (IS) method. The new technique allows finding the maximum of the compressed likelihood function in an efficient manner. The main idea consists in generating realizations of a random variable distributed according to a function that approximates the actual compressed likelihood function and...
In this paper, we present a new time delay maximum likelihood estimator based on importance sampling (IS). We show that a grid search and lack of convergence from which most iterative estimators suffer can be avoided. It is assumed that the transmitted data are completely unknown at the receiver. Moreover the carrier phase is considered as an unknown nuisance parameter. The time delay remains constant...
In this paper, considering a multicarrier transmissions system, we propose two techniques of maximum-likelihood (ML) subcarrier signal-to-noise ratio (SNR) estimation, in both data-aided (DA) and non-data-aided (NDA) schemes, and derive the corresponding Crame??r-Rao lower bounds (CRLBs). The channel gains and phases are assumed to be constant over the observation window and the received signal is...
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