Underdetermined Two-Dimensional Localization for Wideband Sources Based on Distributed Sensor Array Networks
Hantian Wu, Qing Shen, Wei Liu, Yibao Liang
Abstract
In this paper, we consider the underdetermined two dimensional (2-D) source localization problem for wideband sources based on a distributed sensor array network, where a sparse sub-array is placed on each observation platform and the source number is larger than the sensor number of each sub-array. The received signals are first decomposed into different frequency bins via discrete Fourier transform (DFT), followed by the vectorization process to obtain the virtual array model with a larger aperture. Then, focusing is applied to the virtual array instead of the physical array for performance improvement, and a group sparsity based 2-D localization method exploiting the difference co-array is proposed, with increased DOFs for localization. Improved performance is achieved as demonstrated by computer simulations.
BibTeX
@inproceedings{icassp2022_underdeterminedt,
title = {Underdetermined Two-Dimensional Localization for Wideband Sources Based on Distributed Sensor Array Networks},
author = {Hantian Wu and Qing Shen and Wei Liu and Yibao Liang},
booktitle = {ICASSP 2022},
year = {2022}
}