Autoencoder Neural Network-Based STAP Algorithm for Airborne Radar with Inadequate Training Samples

Clutter suppression is a key problem for airborne radar, and space-time adaptive processing (STAP) is a core technology for clutter suppression and moving target detection. However, in practical applications, the non-uniform time-varying environments including clutter range dependence for non-side-l...

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Hlavní autoři:	Jing Liu, Guisheng Liao, Jingwei Xu, Shengqi Zhu, Filbert H. Juwono, Cao Zeng
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	MDPI AG 2022-11-01
Edice:	Remote Sensing
Témata:	clutter suppression space-time adaptive processing autoencoder neural network inadequate training samples
On-line přístup:	https://www.mdpi.com/2072-4292/14/23/6021
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