A Recursive Angle-Doppler Channel Selection Method for Reduced-Dimension Space-Time Adaptive Processing

2020 ◽  
Vol 56 (5) ◽  
pp. 3985-4000
Author(s):  
Lei Xie ◽  
Zishu He ◽  
Jun Tong ◽  
Wei Zhang
Keyword(s):  
Channel Selection ◽  
Selection Method ◽  
Space Time ◽  
Adaptive Processing ◽  
Reduced Dimension ◽  
Dimension Space ◽  
Space Time Adaptive Processing

scholarly journals Local Degree of Freedom of Clutter for Reduced-Dimension Space-Time Adaptive Processing with MIMO Radar

2018 ◽  
Vol 2018 ◽  
pp. 1-9
Author(s):  
Yiduo Guo ◽  
Jian Gong ◽  
Yu Xiao
Keyword(s):  
Multiple Input Multiple Output ◽  
Mimo Radar ◽  
Space Time ◽  
Degree Of Freedom ◽  
Adaptive Processing ◽  
Local Degree ◽  
Input Multiple Output ◽  
Reduced Dimension ◽  
Dimension Space ◽  
Space Time Adaptive Processing

Degree of freedom (DOF) of clutter in the reduced-dimension (RD) domain, which is called local DOF (LDOF), is of great importance for RD MIMO-STAP (space-time adaptive processing for multiple-input multiple-output radar) algorithms. In this paper, the LDOF equivalence of different RD MIMO-STAP algorithms are firstly proved, and then a generalized LDOF estimation rule under different conditions is developed to estimate the clutter LDOF for MIMO radar effectively. The accuracy of the proposed rule is verified, and how to design RD MIMO-STAP processors under the guidance of the proposed rule is presented through numerical simulations.

Low-Complexity Reduced-Dimension Space–Time Adaptive Processing for Navigation Receivers

2018 ◽  
Vol 54 (6) ◽  
pp. 3160-3168 ◽  
Author(s):  
Yunlong Cai ◽  
Xiaomin Wu ◽  
Minjian Zhao ◽  
Rodrigo C. de Lamare ◽  
Benoit Champagne
Keyword(s):  
Low Complexity ◽  
Space Time ◽  
Adaptive Processing ◽  
Reduced Dimension ◽  
Dimension Space ◽  
Space Time Adaptive Processing
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