Low-Rank STAP Algorithm for Airborne Radar Based on Basis-Function Approximation

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Detalles Bibliográficos
Publicado en:	arXiv.org (Mar 20, 2013), p. n/a
Autor principal:	R Fa
Otros Autores:	de Lamare, R C
Publicado:	Cornell University Library, arXiv.org
Materias:	Basis functions Mathematical analysis Clutter Airborne radar Space-time adaptive processing Jamming Approximation Adaptive algorithms
Acceso en línea:	Citation/Abstract Full text outside of ProQuest
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Descripción
Resumen:	In this paper, we develop a novel reduced-rank space-time adaptive processing (STAP) algorithm based on adaptive basis function approximation (ABFA) for airborne radar applications. The proposed algorithm employs the well-known framework of the side-lobe canceller (SLC) structure and consists of selected sets of basis functions that perform dimensionality reduction and an adaptive reduced-rank filter. Compared to traditional reduced-rank techniques, the proposed scheme works on an instantaneous basis, selecting the best suited set of basis functions at each instant to minimize the squared error. Furthermore, we derive stochastic gradient (SG) and recursive least squares (RLS) algorithm for efficiently implementing the proposed ABFA scheme. Simulations for a clutter-plus-jamming suppression application show that the proposed STAP algorithm outperforms the state-of-the-art reduced-rank schemes in convergence and tracking at significantly lower complexity.
ISSN:	2331-8422
Fuente:	Engineering Database