We address adaptive detection of Swerling 2 pulse trains by an array of antennas. The disturbance is modeled in terms of a state space model and the ideas of subspace identification are used to come up with a GLRT-based detector. Such detector is compared by Monte Carlo simulation with a Kelly's detector derived assuming that returns are temporally uncorrelated (but spatially correlated) and that a proper set of secondary data is available

Adaptive radar detection: a subspace identification approach

BANDIERA, Francesco;RICCI, Giuseppe;
2010-01-01

Abstract

We address adaptive detection of Swerling 2 pulse trains by an array of antennas. The disturbance is modeled in terms of a state space model and the ideas of subspace identification are used to come up with a GLRT-based detector. Such detector is compared by Monte Carlo simulation with a Kelly's detector derived assuming that returns are temporally uncorrelated (but spatially correlated) and that a proper set of secondary data is available
2010
9781424464579
9781424464593
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11587/362559
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