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A Novel STAP Algorithm Based on Azimuth-Elevation Spectrum of Clutter

Guardado en:
Publicado en:IET Conference Proceedings (Oct 14, 2015)
Autor principal: Feng, W K
Otros Autores: Zhang, Y S, He, X Y
Publicado:
The Institution of Engineering & Technology
Materias:
Covariance matrix
Elevation
Economic models
Moving targets
Target detection
Recovery
Statistical methods
Maximum likelihood estimation
Clutter
Algorithms
Azimuth
Adaptive filters
Statistical analysis
Computer simulation
Adaptive algorithms
Space-time adaptive processing
Acceso en línea:Citation/Abstract
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Resumen:The conception of clutter azimuth-elevation (AE) spectrum is brought forward, based on which a novel space-time adaptive processing (STAP) algorithm called AE based STAP (AE-STAP) algorithm is proposed in this paper. Instead of using clutter spatial-temporal spectrum for sparse recovery typed STAP algorithms and maximum likelihood estimation for statistic based STAP algorithms, the proposed algorithm utilizes the clutter AE spectrum, which is obtained by the sparse recovery technique and an elevation filter, to estimate the clutter covariance matrix and design the adaptive filter to suppress clutter. The proposed algorithm could achieve a greatly accurate estimation of clutter covariance matrix with few training samples, as well as avoid the influence of range ambiguous clutter and most false values appearing in the process of sparse recovery, and thus enjoy a great performance of clutter suppression and slowly moving targets detection. Simulation results are provided to illustrate the effectiveness of the proposed algorithm.
ISBN:9781785610387
DOI:10.1049/cp.2015.0970
Fuente:Advanced Technologies & Aerospace Database