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Proceedings Paper

Robust adaptive detection with angular rejection
Author(s): Silvio De Nicola; Antonio De Maio; Alfonso Farina
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Paper Abstract

This paper deals with robust adaptive detection of a useful target in the presence of interfering signals. The background environment is assumed homogeneous and Gaussian with unknown covariance matrix. At the design stage, we devise a robust receiver with angular rejection capabilities, accounting for covariance and steering uncertainties. We prove that the maximization of the concentrated likelihood function shares a hidden convexity property. Specifically, exploiting some recent results concerning trigonometric polynomials, we formulate the apparently nonconvex optimization over the phase as a Semidefinite Programming convex optimization problem. At the analysis stage, we assess the performance of the new receiver in comparison with classic detectors available in open literature.

Paper Details

Date Published: 5 August 2009
PDF: 7 pages
Proc. SPIE 7502, Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009, 75021D (5 August 2009); doi: 10.1117/12.837472
Show Author Affiliations
Silvio De Nicola, Univ. degli Studi di Napoli Federico II (Italy)
Antonio De Maio, Univ. degli Studi di Napoli Federico II (Italy)
Alfonso Farina, SELEX Sistemi Integrati S.p.A. (Italy)


Published in SPIE Proceedings Vol. 7502:
Photonics Applications in Astronomy, Communications, Industry, and High-Energy Physics Experiments 2009
Ryszard S. Romaniuk; Krzysztof S. Kulpa, Editor(s)

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