3 papers
eess.SP2026
Near-field Wideband Multi-User Localization using NFMR-Net
Pearl Hetul Shah, Srikar Sharma Sadhu, Praful D. Mankar
This paper proposes a deep learning based method for wideband near-field multi-user localization. In particular, the proposed approach utilizes the Zadoff-Chu (ZC) sequence based p…
eess.SP2026
Near-field Anchor-free Localization using Reconfigurable Intelligent Surfaces
Srikar Sharma Sadhu, Praful D. Mankar, Santosh Nannuru
Near-field localization is expected to play a crucial role in enabling a plethora of applications under the paradigm of 6G networks. The conventional localization methods rely on c…
eess.SP2025
Near-field 5D Pose Estimation using Reconfigurable Intelligent Surfaces
Srikar Sharma Sadhu, Praful D. Mankar, Santosh Nannuru
The advent of 6G is expected to enable many use cases which may rely on accurate knowledge of the location and orientation of user equipment (UE). The conventional localization met…