Liu Xiang-le, Song Yue-peng, Yang Ru-liang. Layover Solution Based on Unitary ESPRIT Algorithm in Multibaseline InSAR[J]. Journal of Electronics & Information Technology, 2008, 30(7): 1731-1735. doi: 10.3724/SP.J.1146.2006.01957
Citation:
Liu Xiang-le, Song Yue-peng, Yang Ru-liang. Layover Solution Based on Unitary ESPRIT Algorithm in Multibaseline InSAR[J]. Journal of Electronics & Information Technology, 2008, 30(7): 1731-1735. doi: 10.3724/SP.J.1146.2006.01957
Liu Xiang-le, Song Yue-peng, Yang Ru-liang. Layover Solution Based on Unitary ESPRIT Algorithm in Multibaseline InSAR[J]. Journal of Electronics & Information Technology, 2008, 30(7): 1731-1735. doi: 10.3724/SP.J.1146.2006.01957
Citation:
Liu Xiang-le, Song Yue-peng, Yang Ru-liang. Layover Solution Based on Unitary ESPRIT Algorithm in Multibaseline InSAR[J]. Journal of Electronics & Information Technology, 2008, 30(7): 1731-1735. doi: 10.3724/SP.J.1146.2006.01957
Layover is a nodus in SAR imaging. The unitary ESPRIT algorithm was introduced to resolve the layover problem on the frame of multibaseline InSAR in this paper. The data model of multibaseline InSAR with layover was expatiated firstly, and the layover problem in multibaseline InSAR was boiled down to the estimation of the interferometric phase angle. The basic principle and advantage of the unitary ESPRIT algorithm was depicted, its efficiency was validated by the Monte Carlo simulations. The simulations indicate that unitary ESPRIT algorithm can work well when the looks are very small but the performance of other algorithms degrade sharply.
Rosen P A, Hensley S, and Joughin I R, et al.. Syntheticaperture radar interferometry[J].Proc. IEEE.2000, 88(3):333-382[2]Rodriguez E and Martin J M. Theory and design ofinterferometric Synthetic Aperture Radars. Proc. IEEE, 1992,139(2): 147-159.[3]Homer J, Longstaff I D, She Z, and Gray D. High resolution3-D imaging via multi-pass SAR[J].Proc. IEE. Radar SonarNaving.2002, 149(1):45-50[4]Reigber A and Moreira A. First demonstration of airborneSAR tomography using multibaseline L-band data[J].IEEETrans. on Geoscience and Remote Sensing.2000, 38(5):2142-2152[5]Roessing L and Ender J H G. Multi-antenna SARTomography Using Superresolution Techniques. in 3rdEuropean Conf. on Synthetic Aperture Radars. Germany,2000: 55-58.[6]Gini F, Lombardini F, and Montanari M. Layover solution inmultibaseline SAR interferometry[J].IEEE Trans. on Aerospaceand Electronic Systems.2002, 38(4):1344-1355[7]Lombardini F, Gini F, and Matteucci P. Application of ArrayProcessing Techniques to Multibaseline InSAR for LayoverSolution. Proc. IEEE in Radar Conference, 2001: 210-215.[8]Lombardini F, Montanari M, and Gini F. Reflectivityestimation for multibaseline interferometric radar imaging oflayover extended sources[J].IEEE Trans. on Signal Processing.2003, 51(6):1508-1519[9]Haardt M and Nossek J A. Unitary ESPRIT: How to obtainincreased estimation accuracy with a reduced computationalburden[J].IEEE Trans. on Signal Processing.1995, 43(5):1232-1242[10]Zebker H A and Villasenor J. Decorrelation in interferometricradar echoes[J].IEEE Trans. on Geoscience and RemoteSensing.1992, 30(5):950-959