| Rank-constrained maximum likelihood estimation of structured covariance matrices B Kang, V Monga, M Rangaswamy IEEE Transactions on Aerospace and Electronic Systems 50 (1), 501-515, 2014 | 104 | 2014 |
| Spatio-spectral radar beampattern design for coexistence with wireless communication systems B Kang, O Aldayel, V Monga, M Rangaswamy IEEE Transactions on Aerospace and Electronic Systems 55 (2), 644-657, 2018 | 40 | 2018 |
| Computationally efficient Toeplitz approximation of structured covariance under a rank constraint B Kang, V Monga, M Rangaswamy IEEE Transactions on Aerospace and Electronic Systems 51 (1), 775-785, 2015 | 29 | 2015 |
| Adversarial radar inference: Inverse tracking, identifying cognition, and designing smart interference V Krishnamurthy, K Pattanayak, S Gogineni, B Kang, M Rangaswamy IEEE Transactions on Aerospace and Electronic Systems 57 (4), 2067-2081, 2021 | 19 | 2021 |
| Radar waveform design under communication sum capacity constraint B Kang, M Rangaswamy IEEE Transactions on Signal Processing 69, 2795-2806, 2021 | 8 | 2021 |
| Expected likelihood approach for determining constraints in covariance estimation B Kang, V Monga, M Rangaswamy, Y Abramovich IEEE Transactions on Aerospace and Electronic Systems 52 (5), 2139-2156, 2016 | 8 | 2016 |
| Automatic rank estimation for practical STAP covariance estimation via an expected likelihood approach B Kang, V Monga, M Rangaswamy, YI Abramovich 2015 IEEE Radar Conference (RadarCon), 1388-1393, 2015 | 8 | 2015 |
| Estimation of structured covariance matrices for radar STAP under practical constraints B Kang, V Monga, M Rangaswamy 2014 IEEE Radar Conference, 0585-0590, 2014 | 8 | 2014 |
| On the practical merits of rank constrained ML estimator of structured covariance matrices B Kang, V Monga, M Rangaswamy 2013 IEEE Radar Conference (RadarCon13), 1-6, 2013 | 7 | 2013 |
| Adaptive channel estimation for cognitive fully adaptive radar B Kang, S Gogineni, M Rangaswamy, JR Guerci, E Blasch IET Radar, Sonar & Navigation 16 (4), 720-734, 2022 | 6 | 2022 |
| Robust covariance matrix estimation for radar space-time adaptive processing (STAP) B Kang arXiv preprint arXiv:1602.05069, 2016 | 6 | 2016 |
| Toward data-driven stap radar S Venkatasubramanian, C Wongkamthong, M Soltani, B Kang, ... 2022 IEEE Radar Conference (RadarConf22), 1-5, 2022 | 5 | 2022 |
| Student research highlight estimation of structured covariance matrices for radar STAP B Kang IEEE Aerospace and Electronic Systems Magazine 30 (2), 24-25, 2015 | 4 | 2015 |
| Constrained ML estimation of structured covariance matrices with applications in radar STAP B Kang, V Monga, M Rangaswamy 2013 5th IEEE International Workshop on Computational Advances in Multi …, 2013 | 4 | 2013 |
| Rank constrained ML estimation of structured covariance matrices B Kang, V Monga, M Rangaswamy IEEE Trans. Aerosp. Electron. Syst, 2013 | 4 | 2013 |
| Constrained maximum likelihood channel estimation for cofar B Kang, S Gogineni, M Rangaswamy, JR Guerci 2020 54th Asilomar Conference on Signals, Systems, and Computers, 1162-1166, 2020 | 3 | 2020 |
| Efficient approximation of structured covariance under joint Toeplitz and rank constraints B Kang, V Monga, M Rangaswamy 2013 Asilomar Conference on Signals, Systems and Computers, 692-696, 2013 | 3 | 2013 |
| Radar Clutter Covariance Estimation: A Nonlinear Spectral Shrinkage Approach S Jain, V Krishnamurthy, M Rangaswamy, B Kang, S Gogineni IEEE Transactions on Aerospace and Electronic Systems, 2023 | 2 | 2023 |
| Data-driven target localization using adaptive radar processing and convolutional neural networks S Venkatasubramanian, S Gogineni, B Kang, A Pezeshki, ... arXiv preprint arXiv:2209.02890, 2022 | 2 | 2022 |
| Strict and relaxed rank constrained ML estimator of structured covariance matrices B Kang, V Monga, M Rangaswamy Tech Rep., 2012 | 2 | 2012 |
