activity
20232026
collaborators

6 papers

eess.SP2026

Near-field channel estimation via wavefront parameterization

Heedong Do, Namyoon Lee, Angel Lozano

This paper deals with the estimation of multiantenna channels in the line-of-sight conditions that are prevalent in the near field. By expressing the curved wavefront as a polynomi…

eess.SP2026

Cramer-Rao Bound for Arbitrarily Constrained Sets

Heedong Do, Angel Lozano

This paper presents a Cramer-Rao bound (CRB) for the estimation of parameters confined to an arbitrary set. Unlike existing results that rely on equality or inequality constraints,…

eess.SP2026

Beamforming Gain with Nonideal Phase Shifters

Heedong Do, Angel Lozano

This research sets forth a universal framework to characterize the beamforming gain achievable with arbitrarily nonideal phase shifters. Precisely, the maximum possible shortfall r…

eess.SP2025

Optimum Discrete Beamforming via Minkowski Sum of Polygons

Heedong Do, Angel Lozano

This letter casts the problem of optimum discrete beamforming as the computation of the Minkowski sum of convex polygons, which is itself a convex polygon. The number of vertices o…

eess.SP2024

Multidimensional Polynomial Phase Estimation

Heedong Do, Namyoon Lee, Angel Lozano

An estimation method is presented for polynomial phase signals, i.e., those adopting the form of a complex exponential whose phase is polynomial in its indices. Transcending the sc…

cs.IT2023

Hybrid Arrays: How Many RF Chains Are Required to Prevent Beam Squint?

Heedong Do, Namyoon Lee, Robert W. Heath +1

With increasing frequencies, bandwidths, and array apertures, the phenomenon of beam squint arises as a serious impairment to beamforming. Fully digital arrays with true time delay…