In inverse synthetic aperture radar (ISAR) imaging, the image resolution is always limited by the bandwidth and the observation time. Sparse recovery (SR) is recently proposed to improve the range resolution or cross-range resolution effectively. However, for the two dimensional superresolution case, a SR-induced range cell migration (RCM) occurs among the High-Resolution Range Profiles (HRRPs) and definitely degrades the ISAR image. After that translational motion compensation is completed, the common sparsity of HRRPs is exploited to suppress the RCM in this paper. Furthermore, by taking the temporal correlation of HRRPs into account, an ISAR imaging method based on temporally correlated Multiple Sparse Bayesian Learning is proposed to improve the imaging quality. Simulated data and real data results demonstrate the effectiveness of the proposed method.
This is a preview of subscription content, log in to check access
This work was supported by the National Natural Science Foundation of China (Nos. 61701526, 61372166, 61571459).
Chi, Y., Scharf, L., Pezeshki, A., & Calderbank, A. R. (2011). Sensitivity to basis mismatch in compressed sensing. IEEE Transactions on Signal Processing,59(5), 2182–2195.CrossRefGoogle Scholar
Cotter, S., Rao, B., Engan, K., & Kreutz-Delgado, K. (2005). Sparse solutions to linear inverse problems with multiple measurement vectors. IEEE Transactions on Signal Processing,53(7), 2477–2488.CrossRefGoogle Scholar
Liu, H., Jiu, B., & Liu, H. (2014). Superresolution ISAR imaging based on sparse bayesian learning. IEEE Transactions on Geoscience and Remote Sensing,52(8), 5005–5013.CrossRefGoogle Scholar
Wang, H., Quan, Y., & Xing, M. (2011). ISAR imaging via sparse probing frequency. IEEE Geoscience and Remote Sensing Letters,8(3), 451–455.CrossRefGoogle Scholar
Wang, X., Zhang, M., & Zhao, J. (2015). Super-resolution ISAR imaging via 2D unitary ESPRIT. Electronics Letters,51(6), 519–521.CrossRefGoogle Scholar
Wipf, D. P., & Rao, B. D. (2004). Sparse Bayesian learning for basis selection. IEEE Transactions on Signal Processing,52(8), 2153–2164.CrossRefGoogle Scholar
Xu, G., Xing, M., & Zhang, L. (2011). Bayesian inverse synthetic aperture radar imaging. IEEE Geoscience and Remote Sensing Letters,8(6), 1150–1154.CrossRefGoogle Scholar
Zhang, L., Qiao, Z., & Xing, M. (2011). High-resolution ISAR imaging with sparse stepped-frequency waveforms. IEEE Transactions on Geoscience and Remote Sensing,49(11), 4630–4651.CrossRefGoogle Scholar
Zhang, Z., & Rao, B. (2011). Sparse signal recovery with temporally correlated source vectors using sparse Bayesian learning. IEEE Journal of Selected Topics in Signal Processing,5(5), 912–926.CrossRefGoogle Scholar