Fundamentals of statistical signal processing: estimation theory
Fundamentals of statistical signal processing: estimation theory
Wireless Location in CDMA Cellular Radio Systems
Wireless Location in CDMA Cellular Radio Systems
A multidimensional scaling framework for mobile location using time-of-arrival measurements
IEEE Transactions on Signal Processing
IEEE Transactions on Signal Processing
A Generalized Subspace Approach for Mobile Positioning With Time-of-Arrival Measurements
IEEE Transactions on Signal Processing
A Novel Weighted Multidimensional Scaling Analysis for Time-of-Arrival-Based Mobile Location
IEEE Transactions on Signal Processing - Part I
IEEE Transactions on Signal Processing
Mobile beacon-based 3D-localization with multidimensional scaling in large sensor networks
IEEE Communications Letters
RSSI-based relative localisation for mobile robots
Ad Hoc Networks
Hi-index | 35.69 |
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. Then we show that all MDS-based algorithms can be unified under the same framework and they are not optimal according to the Gaussian-Markov theorem. Based on the unified framework, the weighted MDS analysis is applied to obtain the optimum performance. The performances of both the MDS algorithms and their corresponding weighted MDS-based algorithms in the unified framework are demonstrated through simulations.