A Novel 2-D Spectrum Model for Bistatic SAR Based on Hyperbolic Approximation

Article Preview

Abstract:

Due to the fact that the range history of bistatic synthetic aperture radar (SAR) doesn’t follow the hyperbolic function, the accurate analytical spectrum of bistatic SAR cannot be obtained directly by the principle of stationary phase (POSP). In this paper, we approximate the range history of bistatic SAR by the hyperbolic function, and propose a novel two-dimensional (2-D) analytical spectrum model for bistatic SAR. The huge advantage of this novel 2-D analytical spectrum is that the equivalent radial velocity of any scatter point in the observed scene, with respect to the radar platform, is not only the same but also invariant with the equivalent range. Further, based on this novel spectrum model, the wavenumber domain algorithm (WDA) could be applied to image the whole observed scene. Finally, the simulation and realistic data imaging results also validate that this novel spectrum model is correct and effective.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

1023-1029

Citation:

Online since:

January 2015

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2015 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

* - Corresponding Author

[1] J. Q. Huang, Q. Wang, W. Q. Wu, Motion compensation in SAS with multiple receivers based on Range-Doppler imaging algorithm, International Conference on Electric Information and Control Engineering (ICEICE), 2011, pp.1476-1479.

DOI: 10.1109/iceice.2011.5777313

Google Scholar

[2] X. Ning, C. M. Yeh, B. Zhou, W. Gao, and J. Yang, Multiple-GPU accelerated range-Doppler algorithm for synthetic aperture radar imaging, IEEE Radar Conference (RADAR), 2011, pp.698-701.

DOI: 10.1109/radar.2011.5960627

Google Scholar

[3] D. Li, G. S. Liao, W. Wang, and Q. Xu, Extended azimuth nonlinear chirp scaling algorithm for bistatic SAR processing in high-resolution highly squinted mode, IEEE Geoscience and Remote Sensing Letters. 11 (6) 1134-1138.

DOI: 10.1109/lgrs.2013.2288292

Google Scholar

[4] S. C. Chen, M. D. Xing, T. L. Yang, and Z. Bao, A nonlinear chirp scaling algorithm for tandem bistatic SAR, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2013, pp.2485-2488.

DOI: 10.1109/igarss.2013.6723325

Google Scholar

[5] A. Ribalta, Omega-K algorithm without the stop-and-go approximation for high resolution SAR image reconstruction, IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2012, pp.3939-3942.

DOI: 10.1109/igarss.2012.6350550

Google Scholar

[6] H. S. Shin, J. T. Lim, Omega-K algorithm for spaceborne spotlight SAR imaging, IEEE Geoscience and Remote Sensing Letters. 9 (3) 343-347.

DOI: 10.1109/lgrs.2011.2168380

Google Scholar

[7] E. Cristofani, M. Vandewal, C. Matheis, and J. Jonuscheit, In-depth high-resolution SAR imaging using Omega-K applied to FMCW systems, IEEE Radar Conference (RADAR), 2012, pp.725-730.

DOI: 10.1109/radar.2012.6212233

Google Scholar

[8] Y. F. Shao, R. Wang, Y. K. Deng, Y. Liu, R. P. Chen, G. Liu, T. Balz, and O. Loffeld, Error analysis of bistatic SAR imaging and stereoscopy bistatic SAR, IEEE Trans. on Geoscience and Remote Sensing. 51 (8) 4518-4543.

DOI: 10.1109/tgrs.2013.2245902

Google Scholar

[9] Y. Wu, S. Verdu, MMSE dimension, IEEE Trans. on Information Theory. 57 (8) 4857-4879.

DOI: 10.1109/tit.2011.2158905

Google Scholar

[10] R. Bustin, M. Payaro, D. P. Palomar, and S. Shamai, On MMSE crossing properties and implications in parallel vector Gaussian channels, IEEE Trans. on Information Theory. 59 (2) 818-844.

DOI: 10.1109/tit.2012.2225405

Google Scholar

[11] I. G. Cumming, F. H. Wong, Digital signal processing of synthetic aperture radar data: algorithms and implementation, Boston: Artech House, (2004).

Google Scholar