Effect of Signal-Subspace Dimension on MIMO Radar with Transmission Signal Errors

Author(s):  
Hidetaka Kato ◽  
Nobuyoshi Kikuma ◽  
Kunio Sakakibara
Keyword(s):  
2010 ◽  
Vol 46 (7) ◽  
pp. 531 ◽  
Author(s):  
J. Zhang ◽  
L.R. Zhang ◽  
Z.W. Yang ◽  
N. Liu

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yongqiang Yang ◽  
Ningjun Ruan ◽  
Guanjun Huang ◽  
Junpeng Shi ◽  
Fangqing Wen

In this paper, a novel two-dimensional (2D) direction-of-departure (DOD) and 2D direction-of-arrival (DOA) estimate algorithm is proposed for bistatic multiple-input multiple-output (MIMO) radar system equipped with coprime electromagnetic vector sensors (EMVS) arrays. Firstly, we construct the propagator to obtain the signal subspace. Then, the ambiguous angles are estimated by using rotation invariant technique. Based on the characteristic of coprime array, the unambiguous angles estimation is achieved. Finally, all azimuth angles estimation is followed via vector cross product. Compared to the existing uniform linear array, coprime MIMO radar is occupying large array aperture, and the proposed algorithm does not need to obtain signal subspace by eigendecomposition. In contrast to the state-of-the-art algorithms, the proposed algorithm shows better estimation performance and simpler computation performance. The proposed algorithm’s effectiveness is proved by simulation results.


2020 ◽  
Vol 56 (2) ◽  
pp. 99-102
Author(s):  
Tingxiao Zhang ◽  
Jinli Chen ◽  
Xuan Chen

2018 ◽  
Vol E101.B (6) ◽  
pp. 1503-1512
Author(s):  
Takaaki KISHIGAMI ◽  
Hidekuni YOMO ◽  
Naoya YOSOKU ◽  
Akihiko MATSUOKA ◽  
Junji SATO
Keyword(s):  

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