Nonhomogeneous Data-Based Direct Position Determination: The RD-DPD-Capon Algorithm

Abstract

The accuracy of conventional two-step location methods is insufficient since the information loss problem in the parameter matching procedure. In this paper, we propose a Reduced Dimension Direct Position Determination with Capon (RD-DPD-Capon) algorithm. By introducing the idea of dimension reduction, the proposed algorithm avoids grid search along with the attenuation coefficient domain. Therefore, the RD-DPD-Capon algorithm has relatively low computational complexity. Meanwhile, the proposed algorithm inherits the high resolution and localization accuracy of the DPD-Capon algorithm. Numerical simulation verifies that the RD-DPD-Capon algorithm outperforms other conventional algorithms.