Abstract
Multibaseline synthetic aperture radar (MB-SAR) can form a synthetic aperture in the height direction with multiple parallel observations, so it has the resolving capability in the height direction and can realize three-dimensional (3D) imaging for the target. The analytic model of MB-SAR based on spectrum estimation is analyzed in this paper. Based on the more general geometric model, we derive the signal model for MB-SAR 3D imaging. And then Yule-Walker algorithm is proposed to realize MB-SAR 3D imaging meanwhile the principle is analyzed and the steps of Yule-Walker algorithm are given. This algorithm can get the 3D image of the target with high resolution using fewer observations. Finally, the experimental results of MB-SAR 3D imaging using Yule-Walker algorithm are presented, which are generated with the simulated data and the data collected in anechoic chamber.
This is a preview of subscription content, log in via an institution to check access.
Similar content being viewed by others
References
Bamler R, Hartl P. Synthetic aperture radar interferometry. Inverse Probl, 1998, 14: R1–R54
Reigber A, Moreira A. First demonstration of airborne SAR tomography using multibaseline L-band data. IEEE Trans Geosci Remote Sens, 2000, 38: 2142–2152
Fornaro G, Lombardini F, Serafino F. Three-dimensional multipass SAR focusing: experiments with long-term spaceborne data. IEEE Trans Geosci Remote Sens, 2005, 43: 702–714
Lombardini F, Fornaro G, Pardini M, et al. SAR tomography for scene elevation and deformation reconstruction: Algorithms and potentialities. In: Radar Conference 2008, Rome, 2008. 1–7
Shi J, Zhang X L, Yang J Y, et al. Radix-N resolution-fusion for LASAR via orthogonal complement decomposition. IEEE Trans Geosci Remote Sens, 2009, 6: 147–151
Lopez J, Fortuny J. 3-D radar imaging using range migration techniques. IEEE Trans Antend Propag, 2000, 48: 728–737
Tan W X, Hong W, Wang Y P, et al. Synthetic aperture radar tomography sampling criteria and three-dimensional range migration algorithm with elevation digital spotlighting. Sci China Ser F-Inf Sci, 2009, 52: 100–114
Guillaso S, Reigber A. Scatterer characterisation using polarimetric SAR tomography. In: Proceedings of IGARSS, Seoul, Korea, 2005. 2685–2688
Nannini M, Scheiber R, Moreira A. Estimation of the minimum number of tracks for SAR tomography. IEEE Trans Geosci Remote Sens, 2009, 47: 531–543
Liu X L. Study on multibaseline tomography synthetic aperture radar. PhD. Dissertation. Beijing: Institute of Electronics, Chinese Academy of Sciences, 2007
Fornaro G, Pauciullo A. LMMSE 3-D SAR focusing. IEEE Trans Geosci Remote Sens, 2009, 47: 214–223
Franceschetti G, Lanari R. Synthetic aperture radar processing. Boca Raton, FL: CRC, 1999
Cumming I, Wong F. Digtial Processing of Synthetic Aperture Radar Data: Algorithms and Implementation. Beijing, Publishing Housing of Electronics Industry, 2007
Stoica P, Moses R. Introduction to Spectral Analysis. Englewood Cliffs, NJ: Prentice Hall, 1997
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Wang, B., Wang, Y., Hong, W. et al. Studies on MB-SAR 3D imaging algorithm using Yule-Walker method. Sci. China Inf. Sci. 53, 1848–1859 (2010). https://doi.org/10.1007/s11432-010-4040-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11432-010-4040-7