Reduced-dimension space-time adaptive processing for airborne radar with co-prime array

Reduced-dimension space-time adaptive processing for airborne radar with co-prime array

Space-time adaptive processing (STAP) for airborne radar with co-prime arrays is shown to have excellent superiority compared to traditional STAP with uniform linear array radar. However, high arithmetic computational complexity and large amount of training data are required in this approach. This m...

Full description

Bibliographic Details
Main Authors: Xiaoye Wang, Zhaocheng Yang, Jianjun Huang
Format: Article
Language:English
Published: Wiley 2019-06-01
Series:The Journal of Engineering
Subjects:
space-time adaptive processing
radar clutter
computational complexity
radar signal processing
covariance matrices
airborne radar
derived interference covariance matrix
reduced-dimension STAP filters
reduced-dimension process
target steering vector
reduced-dimension interference covariance matrix
existing approach
reduced-dimension transformation
satisfactory performance
computational load
training data
high arithmetic computational complexity
uniform linear array radar
traditional STAP
excellent superiority
co-prime array
reduced-dimension space-time adaptive processing
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0170

Internet

https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0170

Similar Items