A single-site positioning method based on TOA and DOA estimation using virtual stations in NLOS environment

摘要

This paper presents a single-site positioning method based on the joint estimation of propagation time-of-arrival (TOA) and direction-of-arrival (DOA), with the assist of virtual stations in the typical non-line-of-sight (NLOS) environment. Consider the influence of multipath noise on the positioning performance the proposed method firstly presents a modified high-resolution estimation technique called Multipath noise Limiting Matrix Pencil (MLMP) algorithm to achieve the TOA/DOA estimations, in which the matrix pencil and matrix enhancement process are implemented to deal with the measurements from the uniform linear array (ULA) receiver. Meanwhile, the subspace dimension estimation is improved via an adaptive threshold, for enhancing the performance of high-resolution techniques in low signal-noise-ration (SNR) situation. Next the proposed method generates virtual stations utilizing the known floor plan of surrounding reflectors, and adopts a weighted Least Square (WLS) position estimator to calculate the required position, combining the TOA/DOA estimations with the location of virtual stations. Simulations are conducted to evaluate the proposed method under NLOS conditions, and the results show that comparing with the multipath fingerprinting scheme, the proposed method has better performance in various simulation scenarios.