An Efficient Sparse Bayesian Learning STAP Algorithm with Adaptive Laplace Prior. - Weichen Cui; Tong Wang; Degen Wang; Kun Liu (Remote. Sens., 2022)

Adaptive Support-Driven Sparse Recovery STAP Method with Subspace Penalty. - Degen Wang; Tong Wang; Weichen Cui; Cheng Liu (Remote. Sens., 2022)

A Space-Time Adaptive Processing Method Based on Sparse Bayesian Learning for Maneuvering Airborne Radar. - Shuguang Zhang; Tong Wang 001; Cheng Liu; Degen Wang (Sensors, 2022)

An Improved Iterative Reweighted STAP Algorithm for Airborne Radar. - Weichen Cui; Tong Wang; Degen Wang; Cheng Liu (Remote. Sens., 2023)

A novel gridless space-time adaptive processing method based cyclic minimization. - Degen Wang; Tong Wang 001; Weichen Cui; Xinying Zhang (Digit. Signal Process., 2023)

Fast Variational Bayesian Inference for Space-Time Adaptive Processing. - Xinying Zhang; Tong Wang; Degen Wang (Remote. Sens., 2023)

Robust SR-STAP algorithms in partly calibrated arrays for airborne radar. - Weichen Cui; Tong Wang 001; Degen Wang; Weijun Huang (Signal Process., 2024)

On Efficient Maximum Likelihood Algorithm for Clutter Suppression. - Xinying Zhang; Tong Wang 001; Degen Wang (IEEE Signal Process. Lett., 2024)

Beam-Space Post-Doppler Reduced-Dimension STAP Based on Sparse Bayesian Learning. - Junxiang Cao; Tong Wang; Degen Wang (Remote. Sens., 2024)

An effective gridless sparse recovery space-time adaptive algorithm for airborne radar with non-uniform linear arrays. - Ciyuan Liu; Tong Wang; Degen Wang; Xinying Zhang (Signal Process., 2025)