3 papers
eess.SP2019
Linearly Constrained Smoothing Group Sparsity Solvers in Off-grid Model
Cheng-Yu Hung, Mostafa Kaveh
In compressed sensing, the sensing matrix is assumed perfectly known. However, there exists perturbation in the sensing matrix in reality due to sensor offsets or noise disturbance…
eess.SP2019
Joint Block Low Rank and Sparse Matrix Recovery in Array Self-Calibration Off-Grid DoA Estimation
Cheng-Yu Hung, Mostafa Kaveh
This letter addresses the estimation of directions-of-arrival (DoA) by a sensor array using a sparse model in the presence of array calibration errors and off-grid directions. The…
eess.SP2017
Low Rank Matrix Recovery for Joint Array Self-Calibration and Sparse Model DoA Estimation
Cheng-Yu Hung, Mostafa Kaveh
In this work, combined calibration and DoA estimation is approached as an extension of the formulation for the Single Measurement Vector (SMV) model of self-calibration to the Mult…