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Model Order Selection in Multi-baseline Interferometric Radar Systems


Synthetic aperture radar interferometry (InSAR) is a powerful technique to derive three-dimensional terrain images. Interest is growing in exploiting the advanced multi-baseline mode of InSAR to solve layover effects from complex orography, which generate reception of unexpected multicomponent signals that degrade imagery of both terrain radar reflectivity and height. This work addresses a few problems related to the implementation into interferometric processing of nonlinear algorithms for estimating the number of signal components, including a system trade-off analysis. Performance of various eigenvalues-based information-theoretic criteria (ITC) algorithms is numerically investigated under some realistic conditions. In particular, speckle effects from surface and volume scattering are taken into account as multiplicative noise in the signal model. Robustness to leakage of signal power into the noise eigenvalues and operation with a small number of looks are investigated. The issue of baseline optimization for detection is also addressed. The use of diagonally loaded ITC methods is then proposed as a tool for robust operation in the presence of speckle decorrelation. Finally, case studies of a nonuniform array are studied and recommendations for a proper combination of ITC methods and system configuration are given.

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Correspondence to Fabrizio Lombardini.

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Lombardini, F., Gini, F. Model Order Selection in Multi-baseline Interferometric Radar Systems. EURASIP J. Adv. Signal Process. 2005, 108784 (2005).

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Keywords and phrases:

  • multichannel and nonlinear array signal processing
  • multicomponent signals
  • radar interferometry
  • synthetic aperture radar