Bosung Kang
Bosung Kang
University of Dayton Research Institute
Verified email at udri.udayton.edu
Title
Cited by
Cited by
Year
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
892014
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
212015
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
192018
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
72016
Estimation of structured covariance matrices for radar STAP under practical constraints
B Kang, V Monga, M Rangaswamy
2014 IEEE Radar Conference, 0585-0590, 2014
72014
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
72013
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
62015
Student research highlight estimation of structured covariance matrices for radar STAP
B Kang
IEEE Aerospace and Electronic Systems Magazine 30 (2), 24-25, 2015
42015
Rank constrained ML estimation of structured covariance matrices
B Kang, V Monga, M Rangaswamy
IEEE Trans. Aerosp. Electron. Syst, 2013
42013
Robust covariance matrix estimation for radar space-time adaptive processing (stap)
B Kang
arXiv preprint arXiv:1602.05069, 2016
32016
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
32013
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
32013
Strict and relaxed rank constrained ML estimator of structured covariance matrices
B Kang, V Monga, M Rangaswamy
Tech Rep., 2012
22012
Radar waveform design under communication sum capacity constraint
B Kang, M Rangaswamy
IEEE Transactions on Signal Processing 69, 2795-2806, 2021
12021
Robust Covariance Estimation under Imperfect Constraints using an Expected Likelihood Approach
B Kang, V Monga, M Rangaswamy, YI Abramovich
arXiv preprint arXiv:1602.05540, 2016
12016
Analysis of Likelihood Ratio Values from the Rank Constrained ML Estimator
B Kang
Tech. Rep., The Pennsylvania State University, 2014
12014
Channel Estimation for Cognitive Fully Adaptive Radar (Preprint)
M Rangaswamy, B Kang, S Gogineni, JS Bergin, JR Guerci
AFRL/RYMF, 2021
2021
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, 2021
2021
Knowledge-Aided Data-Driven Radar Clutter Representation
Y Feng, C Wongkamthong, M Soltani, Y Ng, S Gogineni, B Kang, ...
2021 IEEE Radar Conference (RadarConf21), 1-4, 2021
2021
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
2020
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