Space-time transmit code and receive filter design for colocated MIMO radar

2016 ◽  
Author(s):  
Xianxiang Yu ◽  
Guolong Cui ◽  
Lingjiang Kong ◽  
Vincenzo Carotenuto
Keyword(s):  
Filter Design ◽  
Mimo Radar ◽  
Space Time

Space-Time Transmit Code and Receive Filter Design for Colocated MIMO Radar

2017 ◽  
Vol 65 (5) ◽  
pp. 1116-1129 ◽  
Author(s):  
Guolong Cui ◽  
Xianxiang Yu ◽  
Vincenzo Carotenuto ◽  
Lingjiang Kong
Keyword(s):  
Filter Design ◽  
Mimo Radar ◽  
Space Time

Robust cognitive transmit waveform and receive filter design for airborne MIMO radar in signal-dependent clutter environment

2020 ◽  
Vol 101 ◽  
pp. 102709
Author(s):  
Qingsong Zhou ◽  
Zhihui Li ◽  
Junpeng Shi ◽  
Yunxiang Mao
Keyword(s):  
Filter Design ◽  
Mimo Radar

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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