A novel weighted multidimensional scaling analysis for time-of-arrival-based mobile location

作者：Wei, He-Wen^*; Wan, Qun; Chen, Zhang-Xin; Ye, Shang-Fu

来源：IEEE Transactions on Signal Processing, 2008, 56(7): 3018-3022.

DOI：10.1109/TSP.2007.914349

• least squares
• mobile location
• multidimensional scaling
• time-of-arrival

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 noise level before the threshold effect occurs. In addition, unlike the classical MDS methods depending on the eigen-decomposition of the scalar product matrix, the proposed method is based on the matrix itself directly, which in turn decreases the computational complexity.

• 出版日期2008-7
• 单位电子科技大学