| Sparsity‐based STAP algorithm with multiple measurement vectors via sparse Bayesian learning strategy for airborne radar K Duan, Z Wang, W Xie, H Chen, Y Wang IET Signal Processing 11 (5), 544-553, 2017 | 96 | 2017 |
| Clutter suppression algorithm based on fast converging sparse Bayesian learning for airborne radar Z Wang, W Xie, K Duan, Y Wang Signal Processing 130, 159-168, 2017 | 78 | 2017 |
| Reduced-DOF three-dimensional STAP via subarray synthesis for nonsidelooking planar array airborne radar K Duan, H Xu, H Yuan, H Xie, Y Wang IEEE Transactions on Aerospace and Electronic Systems 56 (4), 3311-3325, 2019 | 56 | 2019 |
| Subspace-augmented clutter suppression technique for STAP radar Z Wang, Y Wang, K Duan, W Xie IEEE Geoscience and Remote Sensing Letters 13 (3), 462-466, 2016 | 51 | 2016 |
| Off‐grid effects mitigation exploiting knowledge of the clutter ridge for sparse recovery STAP K Duan, W Liu, G Duan, Y Wang IET Radar, Sonar & Navigation 12 (5), 557-564, 2018 | 47 | 2018 |
| High-efficiency and high-precision reconstruction strategy for P-band ultra-wideband bistatic synthetic aperture radar raw data including motion errors H Xie, J Hu, K Duan, G Wang IEEE Access 8, 31143-31158, 2020 | 31 | 2020 |
| Cross-spectral metric smoothing-based GIP for space-time adaptive processing H Yuan, H Xu, K Duan, W Xie, Y Wang IEEE Geoscience and Remote Sensing Letters 16 (9), 1388-1392, 2019 | 31 | 2019 |
| Beam-space reduced-dimension 3D-STAP for nonside-looking airborne radar N Cui, K Duan, K Xing, Z Yu IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021 | 29 | 2021 |
| Space time adaptive processing technique for airborne radar: An overview of its development and prospects X Wenchong, D Keqing, W Yongliang 雷达学报 6 (6), 575-586, 2017 | 27 | 2017 |
| Adaptive array detection in noise and completely unknown jamming W Liu, J Liu, L Wang, K Duan, Z Chen, Y Wang Digital Signal Processing 46, 41-48, 2015 | 27 | 2015 |
| Deep learning for high‐resolution estimation of clutter angle‐Doppler spectrum in STAP K Duan, H Chen, W Xie, Y Wang IET Radar, Sonar & Navigation 16 (2), 193-207, 2022 | 26 | 2022 |
| Clutter suppression for airborne phased radar with conformal arrays by least squares estimation W Xie, K Duan, F Gao, Y Wang, Z Zhang Signal Processing 91 (7), 1665-1669, 2011 | 22 | 2011 |
| Fixed-point iteration Gaussian sum filtering estimator with unknown time-varying non-Gaussian measurement noise H Xu, W Xie, H Yuan, K Duan, W Liu, Y Wang Signal Processing 153, 132-142, 2018 | 21 | 2018 |
| Black box variational inference to adaptive kalman filter with unknown process noise covariance matrix H Xu, K Duan, H Yuan, W Xie, Y Wang Signal Processing 169, 107413, 2020 | 19 | 2020 |
| Sparsity-based non-stationary clutter suppression technique for airborne radar K Duan, H Yuan, H Xu, W Liu, Y Wang IEEE Access 6, 56162-56169, 2018 | 19 | 2018 |
| Research progress of space-time adaptive detection for airborne radar W Yong-liang, L Wei-jian, X Wen-chong, D Ke-qing, G Fei, W Ze-tao 雷达学报 3 (2), 201-207, 2014 | 19 | 2014 |
| An adaptive Gaussian sum Kalman filter based on a partial variational Bayesian method H Xu, H Yuan, K Duan, W Xie, Y Wang IEEE Transactions on Automatic Control 65 (11), 4793-4799, 2019 | 18 | 2019 |
| Sparse Bayesian learning-based space-time adaptive processing with off-grid self-calibration for airborne radar H Yuan, H Xu, K Duan, W Xie, W Liu, Y Wang IEEE Access 6, 47296-47307, 2018 | 17 | 2018 |
| Tensor-based sparse recovery space-time adaptive processing for large size data clutter suppression in airborne radar N Cui, K Xing, Z Yu, K Duan IEEE Transactions on Aerospace and Electronic Systems 59 (2), 907-922, 2022 | 14 | 2022 |
| Clutter nulling space‐time adaptive processing algorithm based on sparse representation for airborne radar W Zetao, W Yongliang, G Fei, D Keqing IET Radar, Sonar & Navigation 11 (1), 177-184, 2017 | 14 | 2017 |
