activity
20212026
most citedSubspace Representation Learning for Sparse Linear Arrays to Localize More Sources than Sensors: A Deep Learning Methodology

9 citations · 16 across the 8 of their papers we have counts for

collaborators
Showing 2025Show all

1 paper · 1 filter

eess.SP2025★ 2 cited

A Comparative Study of Invariance-Aware Loss Functions for Deep Learning-based Gridless Direction-of-Arrival Estimation

Kuan-Lin Chen, Bhaskar D. Rao

Covariance matrix reconstruction has been the most widely used guiding objective in gridless direction-of-arrival (DoA) estimation for sparse linear arrays. Many semidefinite progr…