Robust space-time adaptive processing based on covariance matrix reconstruction and steering vector correction

Robust space-time adaptive processing based on covariance matrix reconstruction and steering vector correction

Clutter presents considerable heterogeneity in forward-looking airborne radar (FLAR) applications and conventional space-time adaptive processing (STAP) methods are sensitive to model mismatch. As a result, when a strong target signal contaminates the training samples, despite the use of guard cells...

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Bibliographic Details
Main Authors: Xueyao Hu, Xinyu Zhang, Yang Li, Hongyu Wang, Yanhua Wang
Format: Article
Language:English
Published: Wiley 2019-09-01
Series:The Journal of Engineering
Subjects:
covariance matrices
space-time adaptive processing
array signal processing
radar signal processing
airborne radar
radar clutter
radar detection
conventional space-time adaptive processing methods
strong target signal
conventional stap methods degrades
robust method
target-free covariance matrix
presumed steering vector
target cancellation
flar
actual steering vector
processing scheme
robust space-time adaptive processing
covariance matrix reconstruction
steering vector correction
considerable heterogeneity
airborne radar applications
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0708

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0708

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