Knowledge-Aided STAP Using Low Rank and Geometry Properties

This paper presents knowledge-aided space-time adaptive processing (KA-STAP) algorithms that exploit the low-rank dominant clutter and the array geometry properties (LRGP) for airborne radar applications. The core idea is to exploit the clutter subspace that is only determined by the space-time stee...

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Bibliographic Details
Main Authors: Zhaocheng Yang, Rodrigo C. de Lamare, Xiang Li, Hongqiang Wang
Format: Article
Published: Hindawi Limited 2014-01-01
Series:International Journal of Antennas and Propagation
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