A very simple transformation of the environment significantly reduces Thomson–Chapman PE phase errors

2004 ◽  
Vol 116 (4) ◽  
pp. 2635-2635
Author(s):  
Ilya A. Udovydchenkov ◽  
Irina I. Rypina ◽  
Michael G. Brown ◽  
Francisco J. Beron‐Vera
2004 ◽  
Vol 116 (4) ◽  
pp. 2635-2635
Author(s):  
Irina I. Rypina ◽  
Ilya A. Udovydchenkov ◽  
Michael G. Brown ◽  
Francisco J. Beron‐Vera

2011 ◽  
Vol 30 (9) ◽  
pp. 2182-2184 ◽  
Author(s):  
Hong-mei Zhao ◽  
Hua-li Wang ◽  
Shan-xiang Mu ◽  
Zhong-chuan Zhang ◽  
Cheng-guo Li

2011 ◽  
Vol 67 (3) ◽  
pp. 638-644 ◽  
Author(s):  
D. Hernando ◽  
C. D. G. Hines ◽  
H. Yu ◽  
S.B. Reeder
Keyword(s):  

2021 ◽  
Vol 13 (15) ◽  
pp. 2964
Author(s):  
Fangqing Wen ◽  
Junpeng Shi ◽  
Xinhai Wang ◽  
Lin Wang

Ideal transmitting and receiving (Tx/Rx) array response is always desirable in multiple-input multiple-output (MIMO) radar. In practice, nevertheless, Tx/Rx arrays may be susceptible to unknown gain-phase errors (GPE) and yield seriously decreased positioning accuracy. This paper focuses on the direction-of-departure (DOD) and direction-of-arrival (DOA) problem in bistatic MIMO radar with unknown gain-phase errors (GPE). A novel parallel factor (PARAFAC) estimator is proposed. The factor matrices containing DOD and DOA are firstly obtained via PARAFAC decomposition. One DOD-DOA pair estimation is then accomplished from the spectrum searching. Thereafter, the remainder DOD and DOA are achieved by the least squares technique with the previous estimated angle pair. The proposed estimator is analyzed in detail. It only requires one instrumental Tx/Rx sensor, and it outperforms the state-of-the-art algorithms. Numerical simulations verify the theoretical advantages.


2004 ◽  
Vol 20 (5) ◽  
pp. 874-880 ◽  
Author(s):  
Salome Ryf ◽  
Jeffrey Tsao ◽  
Juerg Schwitter ◽  
Anja Stuessi ◽  
Peter Boesiger
Keyword(s):  

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