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Synthetic aperture radar interferometry (InSAR) is a powerful technique to derive three-dimensional terrain images. Interest is
growing in exploiting the advancedmulti-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 informationtheoretic
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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