Abstract: In this talk we describe techniques that allow the practitioner
to apply high performance array
processing algorithms using real-world sensor arrays with nonidealities.
Arbitrary array geometries and processing
data in azimuth, elevation and polarimetric domains are considered. We
acquire a realistic array steering vector
model by taking into account array nonidealities such as mutual coupling,
mounting platform reflections,
cross-polarization effects, errors in element positions as well as
individual directional beampatterns. This
facilitates achieving optimal or close-to-optimal performance and
retaining high-resolution capability despite the
nonidealities. Moreover, tighter performance bounds may be established for
parameter estimation. We describe how
the various approaches can be applied in practice in the context of
high-resolution direction finding as well as
beamforming so that problems related to beamsteering, SOI and interference
cancellation are mitigated.
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