学术论文
近五年课题组部分发表论文(更多论文见谷歌学术搜索 Jibin Zheng)
[1] Yang Y, Zheng J, Liu H, et al. Optimal sensor placement for source tracking under synchronization offsets and sensor location errors with distance-dependent noises. Signal Processing, 2022, 193: 108399.
[2] Z. Niu, J. Zheng, T. Su, W. Li, and L. Zhang, “Radar high-speed target detection based on improved minimalized windowed RFT,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 14, pp. 870-886, 2021.
[3] J. Zheng, T. Yang, H. Liu, and T. Su, “Efficient data transmission strategy for IIoTs with arbitrary geometrical array,” IEEE Transactions on Industrial Informatics, vol. 17, no. 5, pp. 3460-3468, 2021.
[4] J. Zheng, R. Chen, T. Yang, X. Liu, H. Liu, T. Su and L. Wan, “An efficient strategy for accurate detection and localization of UAV swarms,” IEEE Internet of Things Journal, vol. 8, no. 20, pp. 15372- 15381, 2021.
[5] J. Zheng, T. Yang, H. Liu, T. Su and L. Wan, “Accurate detection and localization of UAV swarms-enabled MEC system,” IEEE Transactions on Industrial Informatics, , vol. 17, no. 7, pp. 5059-5067, 2021.
[6] C. Wang, J. Zheng, B. Jiu, H. Liu, “Deep neural network-aided coherent integration method for maneuvering target detection,” Signal Processing, vol. 182, pp. 3460-3468, 2021.
[7] C. Wang, J. Zheng, B. Jiu, H. Liu, “A model-and-data-driven method for radar highly maneuvering target detection,” IEEE TAES, vol.57, no. 4, pp. 2201-2217, 2021.
[8] T. Yang, J. Zheng, T. Su, and H. Liu “Fast and Robust Super-resolution DOA Estimation for UAV Swarms,” Signal Processing, vol.188, Doc.108187, 2021.
[9] T Yang, A De Maio, J Zheng, T Su, V Carotenuto, A Aubry, “An Adaptive Radar Signal Processor for UAVs Detection with Super-resolution Capabilities” IEEE Sensors Journal, Vol.21, No.18, pp.20778-20787, 2021.
[10] J Zheng, K Zhu, Z Niu, H Liu, QH Liu, “Generalized Dechirp-Keystone Transform for Radar High-Speed Maneuvering Target Detection and Localization” Remote Sensing, Vol.13,No.17, Doc.3367, 2021.
[11] J. Zheng, H. Liu, J. Liu, X. Du, and Q. H. Liu,, “Radar high-speed maneuvering target detection based on three-dimensional scaled transform,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 8, pp. 2821-2833, 2018.
[12] J. Zheng, H. Liu, and Z. Liu,, “Parameterized two-dimensional representation for multicomponent cubic phase signals and its application in ISAR imaging of fluctuating ship,” Digital Signal Processing, 78, pp. 218-231, 2018.
[13] J. Zheng, H. Liu, J. Liu, and Q. H. Liu, “ImPCFCRD for noisy multicomponent LFM signals analysis,” 2018 IEEE Radar Conference, pp. 0519-0524, 2018.
[14] J. Zheng, J. Zhang, S. Xu, H. Liu, and Q. H. Liu, “Radar detection and motion parameters estimation of maneuvering target based on the extended keystone transform,” IEEE Access, vol. 6, pp. 76060 - 76074, 2018.
[15] J. Zheng, H. Liu, and Q. H. Liu, “Parameterized centroid frequency-chirp rate distribution for LFM signal analysis and mechanisms of constant delay introduction,” IEEE Trans. Signal Process., vol. 65, no.24, pp. 6435-6447, 2017.
[16] J. Zheng, H. Liu, Z. Liu, and Q. H. Liu, “ISAR imaging of ship targets based on an integrated cubic phase bilinear autocorrelation function,” Sensors, vol. 17, no. 3, pp. 498, 2017.
[17] J. Zhang, T. Su, J. Zheng, and X. He, “Novel fast coherent detection algorithm for radar maneuvering target with jerk motion,” IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 10, no. 5, pp. 1792-1803, 2017.
[18] J. Zheng, G. Liao, and Q. H. Liu, “PCFCRD for multicomponent LFM signals analysis,” Electronics Letters, vol. 53, no. 1, pp. 31-32, 2016.
[19] J. Zheng, T. Su, H. Liu, G. Liao, Z. Liu, and Q. Liu, Radar high-speed target detection based on the frequency-domain deramp-keystone transform, IEEE J. Sel. Topics Appl. Earth Obs. Remote Sens., vol. 9, no. 1, pp. 285-294, Jan. 2016.
[20] J. Zheng, H. Liu, G. Liao, T. Su, Z. Liu, and Q. H. Liu, “ISAR imaging of targets with complex motions based on a noise-resistant parameter estimation algorithm without nonuniform axis,” IEEE Sens. J, vol. 16, no. 8, pp. 2509-2518, 2016.
[21] J. Zheng, H. Liu, G. Liao, T. Su, Z. Liu, and Q. H. Liu, “ISAR imaging of nonuniformly rotating targets based on generalized decoupling technique,” IEEE Journal of Selected Topics in Applied Earth. Observations and Remote Sensing, vol. 9, no. 1, pp. 520-532, 2016.