Three-Dimensional Spatial-Temporal Near-Field Passive Localization Based on an Exact Spatial Propagation Model
Jiaxiong Fang, Juan Liu, Hua Chen, Wei Liu, Ye Tian, Gang Wang
Abstract
Based on the exact source-sensor spatial geometry, a three-dimensional (3-D) spatial-temporal localization algorithm for multiple near-field (NF) sources is proposed without adopting the Fresnel approximation, which simplifies the spatial phase difference by Taylors polynomial. In addition, considering the propagation attenuation which varies from different sensors, the spatial and temporal information can be exploited to construct a third-order parallel factor (PARAFAC) data model and the array manifold matrices can be extracted by trilinear decomposition; then, estimation of the unambiguous range and angle parameters of the NF sources is achieved from the spatial amplitude-phase factors by the least squares method. The obtained 3-D parameters associated with each source require no additional pairing process, as also demonstrated by simulation results.
BibTeX
@inproceedings{icassp2024_threedimensional,
title = {Three-Dimensional Spatial-Temporal Near-Field Passive Localization Based on an Exact Spatial Propagation Model},
author = {Jiaxiong Fang and Juan Liu and Hua Chen and Wei Liu and Ye Tian and Gang Wang},
booktitle = {ICASSP 2024},
year = {2024}
}