Work

Partially-Blocked Near-Field Sensing: Joint Source DoA and Blockage Range Estimation

Year: 2024

Type: conference-paper

Abstract: A diffraction-based channel model is developed for characterizing the line-of-sight channel where the receive array is partially blocked by near-field obstacles. An analytic receive signal model is established where the range and size parameters of the blockage are explicitly modeled in the array steering vector. Based on the proposed model, we consider the joint estimation of the direction of arrivals (DoAs) of impinging RF signals and the parameters of interest for the blockage. General analytical expressions are derived for the Cramér-Rao bounds (CRBs) of both the source-dependent parameters and environmental (common) parameters using both deterministic and stochastic maximum likelihood models. Finally, a Newton's method-based approach is developed to optimize the maximum likelihood criterion to obtain estimates of the DoAs and blockage range of the sensing problem. Numerical results reveal that the maximum likelihood estimates for the DoAs and the blockage range attain the CRB for the stochastic model.

Source: 2018 52nd Asilomar Conference on Signals, Systems, and Computers

DOI: 10.1109/ieeeconf60004.2024.10942642

Authors: Jiaqi Xu, Björn Ottersten, A. Lee Swindlehurst

Institutions: University of California, Irvine, University of Luxembourg, Interdisciplinary Centre for Security, Reliability and Trust

Language: English

Topic: Direction-of-Arrival Estimation Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

Funder: National Science Foundation

Award: Collaborative Research: NSF-AoF: CIF: AF: Small: Energy-Efficient THz Communications Across Massive Dimensions