Publications

Book Chapters

Bo Tang, Jun Tang. Relative entropy based waveform design for MIMO radar, in Radar Waveform Design based on Optimization Theory (edited by Antonio De Maio, Guolong Cui, Alfonso Farina & Jian Li). London: The Institution of Engineering and Technology, 2020.

Selected Journal Publications

• J. Liang, T. Wang, W. Liu, H. C. So, Y. Huang, and B. Tang, “Constant Modulus Waveform Estimation and Interference Suppression via Two-Stage Fractional Program-Based Beamforming,” IEEE Transactions on Signal Processing, vol. 72, pp. 2348-2363, 2024, doi: 10.1109/TSP.2024.3392363.
• D. Li, B. Tang, X. Wang, and L. Xue, “Information Theory Based Waveform Design for RIS-aided Multifunction RF Systems,” Digital Signal Processing, p. 104375, 2024/01/03/ 2024, doi: https://doi.org/10.1016/j.dsp.2023.104375.
• Z. Xu, B. Tang, Z. Xie, and X. Huang, “Probabilistically Robust Design of Radar Waveform-Filter for Extended Target Detection in the Presence of Clutter,” IEEE Transactions on Signal Processing, vol. 71, pp. 3267-3280, 2023, doi: 10.1109/TSP.2023.3307874.
• W. Wu, B. Tang, J. Xiao, and P. Huang, “Adaptive Design for Colocated MIMO Radar Beamspace Localization,” IEEE Transactions on Radar Systems, vol. 1, pp. 463-467, 2023, doi: 10.1109/TRS.2023.3311765.
• W. Wu, B. Tang, and X. Wang, “Constant-Modulus Waveform Design for Dual-Function Radar-Communication Systems in the Presence of Clutter,” IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 4, pp. 4005-4017, 2023, doi: 10.1109/TAES.2023.3234927.
• W. Wu, B. Tang, and R. Tao, “Performance Bound Optimization for MIMO Radar Direction Finding with MUSIC,” IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 6, pp. 8845-8858, 2023, doi: 10.1109/TAES.2023.3310973.
• W. Wu and B. Tang, “Waveform design for higher-resolution localization with MIMO radar,” Signal Processing, vol. 209, p. 108999, 2023/08/01/ 2023, doi: https://doi.org/10.1016/j.sigpro.2023.108999.
• X. Wang, B. Tang, W. Wu, and D. Li, “Relative Entropy-Based Waveform Optimization for Rician Target Detection with Dual-Function Radar Communication Systems,” IEEE Sensors Journal, vol. 23, no. 10, pp. 10718-10730, 2023, doi: 10.1109/JSEN.2023.3264458.
• X. Wang, B. Tang, D. Li, and W. Wu, “Mutual information‐based constant‐modulus waveform design for multiple‐input‐multiple‐output radar in spectrally crowded environment,” IET Radar, Sonar & Navigation, vol. 17, no. 4, pp. 719-731, 2023.
• D. Li, B. Tang, and L. Xue, “Multi-Spectrally Constrained Low-PAPR Waveform Optimization for MIMO Radar Space-Time Adaptive Processing,” IEEE Transactions on Aerospace and Electronic Systems, vol. 59, no. 5, pp. 5097-5110, 2023, doi: 10.1109/TAES.2023.3247976.
• B. Guo, J. Liang, G. Wang, B. Tang, and H. C. So, “Bistatic MIMO DFRC System Waveform Design via Fractional Programming,” IEEE Transactions on Signal Processing, vol. 71, pp. 1952-1967, 2023, doi: 10.1109/TSP.2023.3279900.
• B. Guo, J. Liang, B. Tang, L. Li, and H. C. So, “Bistatic MIMO DFRC System Waveform Design via Symbol Distance/Direction Discrimination,” IEEE Transactions on Signal Processing, no. 71, pp. 3996-4010, 2023, doi: 10.1109/TSP.2023.3322815.
• X. Wang, B. Tang, and M. Zhang, “Optimisation of practically constrained waveforms for Rician target detection with multiple-input-multiple-output radar,” IET Radar, Sonar & Navigation, vol. 16, no. 7, pp. 1116-1130, 2022, doi: https://doi.org/10.1049/rsn2.12247.
• B. Tang and P. Stoica, “MIMO Multifunction RF Systems: Detection Performance and Waveform Design,” IEEE Transactions on Signal Processing, vol. 70, pp. 4381-4394, 2022, doi: 10.1109/TSP.2022.3202315.
• Z. Li, B. Tang, J. Shi, and Q. Zhou, “Maximin Joint Design of Transmit Waveform and Receive Filter Bank for MIMO-STAP Radar Under Target Uncertainties,” IEEE Signal Processing Letters, vol. 29, pp. 179-183, 2022, doi: 10.1109/LSP.2021.3131092.
• Z. Huang, B. Tang, C. Huang, and L. Qin, “Direct transmit waveform design to match a desired beampattern under the constant modulus constraint,” Digital Signal Processing, vol. 126, p. 103486, 2022.
• Z. Huang, Y. Shi, B. Tang, and J. Zhang, “Unimodular multiple-input-multiple-output radar wave-form design with desired correlation properties,” IET Radar, Sonar & Navigation, vol. 16, no. 3, pp. 412-425, 2022, doi: https://doi.org/10.1049/rsn2.12192.
• Z. Chen, J. Liang, T. Wang, B. Tang, and H. C. So, “Generalized MBI Algorithm for Designing Sequence Set and Mismatched Filter Bank With Ambiguity Function Constraints,” IEEE Transactions on Signal Processing, vol. 70, pp. 2918-2933, 2022, doi: 10.1109/TSP.2022.3181346.
• J. Zhang, Q. Su, B. Tang, C. Wang, and Y. Li, “DPSNet: Multitask Learning Using Geometry Reasoning for Scene Depth and Semantics,” IEEE Transactions on Neural Networks and Learning Systems, pp. 1-12, 2021, doi: 10.1109/TNNLS.2021.3107362.
• B. Tang and P. Stoica, “Information-theoretic Waveform Design for MIMO Radar Detection in Range-Spread Clutter,” Signal Processing, vol. 182, p. 107961, 2021.
• B. Tang, J. Liu, H. Wang, and Y. Hu, “Constrained Radar Waveform Design for Range Profiling,” IEEE Transactions on Signal Processing, vol. 69, pp. 1924-1937, 2021, doi: 10.1109/TSP.2021.3065830.
• Z. Huang, B. Tang, H. Wang, and L. Qin, “Wideband MIMO Radar Transmit Beampattern Synthesis via Majorization–Minimization,” Circuits, Systems, and Signal Processing, 2021/05/07 2021, doi: 10.1007/s00034-021-01735-4.
• Z. Huang, Y. Shi, B. Tang, and J. Zhang, “Unimodular multiple‐input‐multiple‐output radar wave‐form design with desired correlation properties,” IET Radar, Sonar & Navigation, 2021.
• L. Fan, B. Tang, and Q. Jiang, “Fast secrecy rate optimization for MIMO wiretap channels in the presence of a multiple-antenna eavesdropper,” Signal Processing, vol. 178, p. 107803, 2021/01/01/ 2021, doi: https://doi.org/10.1016/j.sigpro.2020.107803.
• A. Bose, B. Tang, M. Soltanalian, and J. Li, “Mutual Interference Mitigation for Multiple Connected Automotive Radar Systems,” IEEE Transactions on Vehicular Technology, vol. 70, no. 10, pp. 11062-11066, 2021
• B. Tang, J. Tuck, and P. Stoica, “Polyphase Waveform Design for MIMO Radar Space Time Adaptive Processing,” IEEE Transactions on Signal Processing, vol. 68, pp. 2143-2154, 2020.
• B. Tang, J. Liu, Z. Huang, G. Wang, and F. Fan, “Adaptive Target Detection in Gaussian Clutter Edges,” IEEE Transactions on Aerospace and Electronic Systems, vol. 56, no. 2, pp. 1662-1673, 2020, doi: 10.1109/TAES.2019.2930019.
• J. Liu, W. Liu, B. Tang, and D. Orlando, “Persymmetric adaptive detection in subspace interference plus gaussian noise,” Signal Processing, vol. 167, p. 107316, 2020/02/01/ 2020, doi: https://doi.org/10.1016/j.sigpro.2019.107316.
• B. Tang and J. Li, “Spectrally Constrained MIMO Radar Waveform Design Based on Mutual Information,” IEEE Transactions on Signal Processing, vol. 67, no. 3, pp. 821-834, 2019, doi: 10.1109/TSP.2018.2887186.
• R. Lin, M. Soltanalian, B. Tang, and J. Li, “Efficient Design of Binary Sequences With Low Autocorrelation Sidelobes,” IEEE Transactions on Signal Processing, vol. 67, no. 24, pp. 6397-6410, 2019, doi: 10.1109/TSP.2019.2954525.
• J. Liu, W. Liu, B. Tang, J. Zheng, and S. Xu, “Distributed Target Detection Exploiting Persymmetry in Gaussian Clutter,” IEEE Transactions on Signal Processing, vol. 67, no. 4, pp. 1022-1033, 2019.
• B. Tang and J. Liang, “Efficient Algorithms for Synthesizing Probing Waveforms With Desired Spectral Shapes,” IEEE Transactions on Aerospace and Electronic Systems, vol. 55, no. 3, pp. 1174-1189, 2019, doi: 10.1109/TAES.2018.2876585.
• Y. Jing, J. Liang, B. Tang, and J. Li, “Designing Unimodular Sequence With Low Peak of Sidelobe Level of Local Ambiguity Function,” IEEE Transactions on Aerospace and Electronic Systems, vol. 55, no. 3, pp. 1393-1406, 2019, doi: 10.1109/TAES.2018.2870459.
• B. Tang, Y. Zhang, and J. Tang, “An Efficient Minorization Maximization Approach for MIMO Radar Waveform Optimization via Relative Entropy,” IEEE Transactions on Signal Processing, vol. 66, no. 2, pp. 400-411, 2018, doi: 10.1109/TSP.2017.2771726.
• J. Liu, W. Liu, J. Han, B. Tang, Y. Zhao, and H. Yang, “Persymmetric GLRT Detection in MIMO Radar,” IEEE Transactions on Vehicular Technology, vol. 67, no. 12, pp. 11913-11923, 2018, doi: 10.1109/TVT.2018.2877265.
• B. Tang, J. Li, and J. Liang, “Alternating direction method of multipliers for radar waveform design in spectrally crowded environments,” Signal Processing, vol. 142, pp. 398-402, 2018, doi: https://doi.org/10.1016/j.sigpro.2017.08.003.
• G. Yu, J. Liang, J. Li, and B. Tang, “Sequence Set Design With Accurately Controlled Correlation Properties,” IEEE Transactions on Aerospace and Electronic Systems, vol. 54, no. 6, pp. 3032-3046, 2018, doi: 10.1109/TAES.2018.2836778.
• Z. Xu, B. Tang, and S. Cheng, “Faint Ship Wake Detection in PolSAR Images,” IEEE Geoscience and Remote Sensing Letters, vol. 15, no. 7, pp. 1055-1059, 2018, doi: 10.1109/LGRS.2018.2823007.
• D. Zhang, J. Tang, and B. Tang, “Non-linear shrinkage-based precision matrix estimation for space–time adaptive processing,” IET Radar, Sonar & Navigation, vol. 11, no. 9, pp. 1379-1387, 2017.
• B. Tang and J. Tang, “Joint Design of Transmit Waveforms and Receive Filters for MIMO Radar Space-Time Adaptive Processing,” IEEE Transactions on Signal Processing, vol. 64, no. 18, pp. 4707-4722, 2016, doi: 10.1109/TSP.2016.2569431.
• B. Tang, J. Li, Y. Zhang, and J. Tang, “Design of MIMO radar waveform covariance matrix for Clutter and Jamming suppression based on space time adaptive processing,” Signal Processing, vol. 121, pp. 60-69, 4// 2016, doi: http://dx.doi.org/10.1016/j.sigpro.2015.10.033.
• B. Tang, J. Tang, and Y. Zhang, “Design of multiple-input–multiple-output radar waveforms for Rician target detection,” IET Radar, Sonar & Navigation, vol. 10, no. 9, pp. 1583-1593, 2016.
• B. Tang, M. M. Naghsh, and J. Tang, “Relative Entropy-Based Waveform Design for MIMO Radar Detection in the Presence of Clutter and Interference,” IEEE Transactions on Signal Processing, vol. 63, no. 14, pp. 3783-3796, 2015, doi: 10.1109/TSP.2015.2423257.
• J. Tang, N. Zhang, Z. Ma, and B. Tang, “Construction of Doppler Resilient Complete Complementary Code in MIMO Radar,” IEEE Transactions on Signal Processing, vol. 62, no. 18, pp. 4704-4712, 2014.
• B. Tang, Y. Zhang, and J. Tang, “Robust fast maximum likelihood with assumed clutter covariance algorithm for adaptive clutter suppression,” IET Radar, Sonar & Navigation, vol. 8, no. 9, pp. 1184-1194, 2014, doi: 10.1049/iet-rsn.2014.0017.
• J. Tang, J. Luo, B. Tang, and J. Du, “Target models and waveform design for detection in MIMO radar,” Science China Information Sciences, vol. 57, no. 1, pp. 1-12, 2014/01/01 2014, doi: 10.1007/s11432-012-4719-z.
• B. Tang, J. Tang, and Y. Peng, “Clutter Nulling Performance of SMI in Amplitude Heterogeneous Clutter Environments,” IEEE Transactions on Aerospace and Electronic Systems, vol. 49, no. 2, pp. 1366-1373, 2013.
• B. Tang, J. Tang, Y. Zhang, and Z. Zheng, “Maximum likelihood estimation of DOD and DOA for bistatic MIMO radar,” Signal Processing, vol. 93, no. 5, pp. 1349-1357, 2013.
• B. Tang, Y. Zhang, J. Tang, and Y. Peng, “Close form maximum likelihood covariance matrix estimation under a knowledge-aided constraint,” IET Radar, Sonar & Navigation, vol. 7, no. 8, pp. 904-913, 2013.
• M. Soltanalian, B. Tang, J. Li, and P. Stoica, “Joint Design of the Receive Filter and Transmit Sequence for Active Sensing,” IEEE Signal Processing Letters, vol. 20, no. 5, pp. 423-426, 2013, doi: 10.1109/lsp.2013.2250279.
• P. Sun, J. Tang, Q. He, B. Tang, et al. “Cramer-Rao bound of parameters estimation and coherent performance for next generation radar”. IET Radar, Sonar & Navigation, vol. 7, no. 5, pp. 553-567, 2013, doi: https://doi.org/10.1049/iet-rsn.2012.0139.
• B. Tang, J. Tang, and Y. Peng, “Detection of heterogeneous samples based on loaded generalized inner product method,” Digital Signal Processing, vol. 22, no. 4, pp. 605-613, 2012.
• B. Tang, J. Tang, and Y. Peng, “Waveform Optimization for MIMO Radar in Colored Noise: Further Results for Estimation-Oriented Criteria,” IEEE Transactions on Signal Processing, vol. 60, no. 3, pp. 1517-1522, 2012.
• B. Tang, J. Tang, and Y. Peng, “Performance of knowledge aided space time adaptive processing,” IET Radar, Sonar & Navigation, vol. 5, no. 3, pp. 331-340, 2011.
• B. Tang, J. Tang, and Y. Peng, “MIMO Radar Waveform Design in Colored Noise Based on Information Theory,” IEEE Transactions on Signal Processing, vol. 58, no. 9, pp. 4684-4697, 2010. [Online]. Available: 10.1109/TSP.2010.2050885.
• B. Tang, J. Tang, and Y. Peng, “Convergence Rate of LSMI in Amplitude Heterogeneous Clutter Environment,” IEEE Signal Processing Letters, vol. 17, no. 5, pp. 481-484, 2010.

Conference Publications

• D. Li, B. Tang, and L. Xue, “Co-Design for MIMO Radar and MIMO Communication Aided by Reconfigurable Intelligent Surface,” in ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 4-10 June 2023, pp. 1-5, doi: 10.1109/ICASSP49357.2023.10095160.
• X. Wang, B. Tang, and M. Zhang, “A Probabilistic Model-Based Robust Waveform Design for MIMO Radar Detection,” presented at the 2021 CIE International Conference on Radar (Radar), 15-19 Dec. 2021.
• B. Tang, Z. Huang, L. Qin, and H. Wang, “Fundamental Limits on Detection With a Dual-function Radar Communication System,” presented at the 2021 CIE International Conference on Radar (Radar), 15-19 Dec. 2021.
• B. Tang, H. Wang, L. Qin, and L. Li, “Waveform Design for Dual-function MIMO Radar-communication Systems,” in 2020 IEEE 11th Sensor Array and Multichannel Signal Processing Workshop (SAM), 8-11 June 2020 2020, pp. 1-5, doi: 10.1109/SAM48682.2020.9104378.
• Bo Tang, Wenjie Huang, Jian Li. Slow-Time Coding For Mutual Interference Mitigation. Proceedings of 43rd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2018, Calgary, Canada.
• Bo Tang, Ning Zhang, Shuo Zhang, Zhongrui Huang. MMSE-Based Waveform Design For Distributed MIMO Radar In Spectrally Crowded Environments. Proceedings of IET international radar conference, 2018, Nanjing.
• Zhongrui Huang, Bo Tang, Shuo Zhang. Sequential Optimization of Orthogonal Waveform for MIMO Radar. Proceedings of IET international radar conference, 2018, Nanjing.
• Bo Tang, Jun Tang. Robust waveform Design of Wideband Cognitive Radar For Extended Target Detection. Proceedings of 41st IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2016, Shanghai.
• Bo Tang, Yu Zhang, Jun Tang. Computationally Efficient Waveform Optimization for MIMO Radar Space Time Adaptive Processing. CIE International radar conference, 2016, Guangzhou.
• Yangzhong Zhang, Yu Zhang, Bo Tang. Persymmetric adaptive detection of subspace signals in compound-Gaussian clutter. CIE International radar conference, 2016, Guangzhou.
• Bo Tang, Jun Tang, Yu Zhang. MIMO Radar Waveform Design for Detection of Rician Targets. Proceedings of IET international radar conference, 2015, Hangzhou.
• Bo Tang, Jun Tang, Yingning Peng. Estimation of Transition Range Bin in Clutter Edge for Space Time Adaptive Processing. CIE International radar conference, 2011, Chengdu.
• Xiaowei Tang, Jun Tang, Bo Tang, et al. A New Electronic Reconnaissance Technology for MIMO Radar. CIE International radar conference, 2011, Chengdu.
• Jun Tang, Bo Tang, Lizhong Zheng, Target Model and Waveform Design in MIMO radar. IEEE radar conference, 2011, Kansas City.
• Bo Tang, Zhikun Ma, Jun Tang. Cramer-Rao Bound for Angle Estimation with Passive Synthetic Array. Proceedings of International Conference on Computer and Information Application, 2010, Tianjin.
• Bo Tang, Jun Tang, Yingning Peng. Research on deception jamming for countering ISAR. Proceedings of IET international radar conference, 2009,Guilin.
• Bo Tang, Jun Tang, Yingning Peng, Xiutan Wang. A new method for evaluation of jamming effect on ISAR. Proceedings of Asia-Pacific Conference on Synthetic Aperture Radar, 2009: 531-534.
• Bo Tang, Jun Tang, Yingning Peng, Xiutan Wang. A new method for evaluation of jamming effect on ISAR. Proceedings of Asia-Pacific Conference on Synthetic Aperture Radar, 2009: 531-534.