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Recently, multidimensional scaling (MDS) algorithms have been verified to be robust for the mobile localization. However, they do not achieve the Cramer-Rao lower bound (CRLB), even though the measurement noise is small. In this paper, a novel weighted MDS method is proposed for time-of-arrival based mobile location. It can achieve the CRLB at moderate(More)
Recently, while the classical multidimensional scaling (MDS) algorithm had been claimed to be infeasible, MDS based algorithms, including modified MDS and subspace approach, have been applied to the range measurements based mobile localization. In this correspondence, we first prove that the classical MDS algorithm is feasible for the mobile localization.(More)
A new framework for positioning a moving target is introduced by utilizing time differences of arrival (TDOA) and frequency differences of arrival (FDOA) measurements collected using an array of passive sensors. It exploits the multidimensional scaling (MDS) analysis, which has been developed for data analysis in the field such as physics, geography and(More)
The Cramer-Rao lower bounds for joint time delay and Doppler stretch estimation have been obtained for wideband signals with known phase already. However, the carrier phase is usually unknown in non-coherent receivers in the applications such as radar and sonar. And accuracy of the joint estimation of time delay and Doppler stretch will be affected by this(More)
The true Cramer-Rao bound (CRB) for the variance of unbiased, data-aided symbol-timing estimate has been obtained from linearly modulated waveforms through an additive white Gaussian noise channel with random carrier phase already. However, in practice, it is unusual to perform carrier synchronization prior to timing recovery. In this paper, we deduce the(More)
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