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Study of Sparsity-Aware Reduced-Dimension Beam-Doppler Space-Time Adaptive Processing

Guardado en:
Publicado en:arXiv.org (Mar 5, 2019), p. n/a
Autor principal: Yang, Zhaocheng
Otros Autores: de Lamare, Rodrigo C
Publicado:
Cornell University Library, arXiv.org
Materias:
Adaptation
Sparsity
Spacetime
Filter design (mathematics)
Performance degradation
Computer simulation
Adaptive algorithms
Space-time adaptive processing
Acceso en línea:Citation/Abstract
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Resumen:Existing reduced-dimension beam-Doppler space-time adaptive processing (RD-BD-STAP) algorithms are confined to the beam-Doppler cells used for adaptation, which often leads to some performance degradation. In this work, a novel sparsity-aware RD-BD-STAP algorithm, denoted Sparse Constraint on Beam-Doppler Selection Reduced-Dimension Space-Time Adaptive Processing (SCBDS-RD-STAP), is proposed can adaptively selects the best beam-Doppler cells for adaptation. The proposed SCBDS-RD-STAP approach formulates the filter design as a sparse representation problem and enforcing most of the elements in the weight vector to be zero (or sufficiently small in amplitude). Simulation results illustrate that the proposed SCBDS-RD-STAP algorithm outperforms the traditional RD-BD-STAP approaches with fixed beam-Doppler localized processing.
ISSN:2331-8422
Fuente:Engineering Database