3 papers
cs.LG2025
Direction Finding with Sparse Arrays Based on Variable Window Size Spatial Smoothing
Wesley S. Leite, Rodrigo C. de Lamare, Yuriy Zakharov +2
In this work, we introduce a variable window size (VWS) spatial smoothing framework that enhances coarray-based direction of arrival (DOA) estimation for sparse linear arrays. By c…
eess.SP2025
Covariance Matrix Construction with Preprocessing-Based Spatial Sampling for Robust Adaptive Beamforming
Saeed Mohammadzadeh, Rodrigo C. de Lamare, Yuriy Zakharov
This work proposes an efficient, robust adaptive beamforming technique to deal with steering vector (SV) estimation mismatches and data covariance matrix reconstruction problems. I…
eess.SP2024
Direction of Arrival Estimation with Sparse Subarrays
W. Leite, R. C. de Lamare, Y. Zakharov +2
This paper proposes design techniques for partially-calibrated sparse linear subarrays and algorithms to perform direction-of-arrival (DOA) estimation. First, we introduce array ar…