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

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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Bibliographic Details
Main Authors: Jing Liu, Guisheng Liao, Jingwei Xu, Shengqi Zhu, Filbert H. Juwono, Cao Zeng
Format: Article
Language:English
Published: MDPI AG 2022-11-01
Series:Remote Sensing
Subjects:
clutter suppression
space-time adaptive processing
autoencoder neural network
inadequate training samples
Online Access:https://www.mdpi.com/2072-4292/14/23/6021

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