In this article, wideband 3-D source localization utilizing only 1-D angle measurements based on a general distributed linear array (in lieu of planar array) network is studied. Instead of fusing the independent directions of arrival estimated by individual subarrays to form the final source location, a group sparsity-based localization method is proposed to exploit the information acquired by all receivers jointly with the corresponding closed-form Cramér–Rao bound for 3-D localization derived. Simulation results demonstrate that improved performance and robustness is achieved by our proposed method.
Group Sparsity-Based Wideband 3-D Localization Using a Distributed Linear Array Network
IEEE Transactions on Aerospace and Electronic Systems ; 61 , 2 ; 5454-5460
2025-04-01
1142415 byte
Article (Journal)
Electronic Resource
English
Sparsity Driven People Localization with a Heterogeneous Network of Cameras
British Library Online Contents | 2011
|Visual tracking based on group sparsity learning
British Library Online Contents | 2015
|SCOOP: A Real-Time Sparsity Driven People Localization Algorithm
British Library Online Contents | 2014
|