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

2019 ◽  
Vol 2019 (19) ◽  
pp. 5971-5974
Author(s):  
Xiaoye Wang ◽  
Zhaocheng Yang ◽  
Jianjun Huang
Keyword(s):  
Space Time ◽  
Airborne Radar ◽  
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.

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