scholarly journals Low-Complexity Propagator Based Two Dimensional Angle Estimation for Coprime MIMO Radar

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 13931-13938 ◽  
Author(s):  
Jianfeng Li ◽  
Defu Jiang
Keyword(s):  
Low Complexity ◽  
Mimo Radar ◽  
Two Dimensional ◽  
Angle Estimation

scholarly journals Low‐complexity range and angle two‐dimensional gold‐MUSIC for multi‐carrier frequency MIMO radar

2018 ◽  
Vol 54 (18) ◽  
pp. 1088-1089 ◽  
Author(s):  
Mengying Xia ◽  
Weimin Su ◽  
Hong Gu ◽  
Zheng Dai ◽  
Wenjuan Li ◽  
...  
Keyword(s):  
Carrier Frequency ◽  
Low Complexity ◽  
Mimo Radar ◽  
Two Dimensional

scholarly journals Two-Dimensional Direction-of-Arrival Estimation for Trilinear Decomposition-Based Monostatic Cross MIMO Radar

2013 ◽  
Vol 2013 ◽  
pp. 1-8 ◽  
Author(s):  
Fangqing Wen ◽  
Gong Zhang
Keyword(s):  
Direction Of Arrival ◽  
Doa Estimation ◽  
Low Complexity ◽  
Mimo Radar ◽  
Eigenvalue Decomposition ◽  
Two Dimensional ◽  
Music Algorithm ◽  
Multiple Signal Classification ◽  
Trilinear Decomposition ◽  
Signal Covariance Matrix

A low complexity monostatic cross multiple-in multiple-out (MIMO) radar scheme is proposed in this paper. The minimum-redundancy linear array (MRLA) is introduced in the cross radar to improve the efficiency of the array elements. The two-dimensional direction-of-arrival (DOA) estimation problem links to the trilinear model, which automatically pairs the estimated two-dimensional angles, requiring neither eigenvalue decomposition of received signal covariance matrix nor spectral peak searching. The proposed scheme performs better than the uniform linear arrays (ULA) configuration under the same conditions, and the proposed algorithm has less computational complexity than that of multiple signal classification (MUSIC) algorithm. Simulation results show the effectiveness of our scheme.

scholarly journals Computationally Efficient Unitary ESPRIT Algorithm in Bistatic MIMO Radar

2021 ◽  
Vol 2021 ◽  
pp. 1-8
Author(s):  
Baobao Liu ◽  
Tao Xue ◽  
Cong Xu ◽  
Yongjun Liu
Keyword(s):  
Multiple Input Multiple Output ◽  
Low Complexity ◽  
Mimo Radar ◽  
Computational Effort ◽  
Estimation Accuracy ◽  
Computationally Efficient ◽  
Angle Estimation ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Esprit Algorithm

A low complexity unitary estimating signal parameter via rotational invariance techniques (ESPRIT) algorithm is presented for angle estimation in bistatic multiple-input-multiple-output (MIMO) radar. The devised algorithm only requires calculating two submatrices covariance matrix, which reduces the computation cost in comparison with subspace methods. Moreover, the signal subspace can be efficiently acquired by exploiting the NystrÖm method, which only needs O M N K 2 flops. Thus, the presented algorithm has an essentially diminished computational effort, especially useful when K ≪ M N , while it can achieve efficient angle estimation accuracy as well as the existing algorithms. Several theoretical analysis and simulation results are provided to demonstrate the usefulness of the proposed scheme.

Low-Complexity Method for Angle Estimation in MIMO Radar

2012 ◽  
Vol E95.B (9) ◽  
pp. 2976-2978 ◽  
Author(s):  
Wei WANG ◽  
Xian-peng WANG ◽  
Xin LI
Keyword(s):  
Low Complexity ◽  
Mimo Radar ◽  
Angle Estimation

Fast Angle Estimation Algorithm of Coherently Distributed Targets for Bistatic MIMO Radar

2011 ◽  
Vol 33 (7) ◽  
pp. 1684-1688
Author(s):  
Yi-duo Guo ◽  
Yong-shun Zhang ◽  
Lin-rang Zhang ◽  
Ning-ning Tong
Keyword(s):  
Estimation Algorithm ◽  
Mimo Radar ◽  
Angle Estimation ◽  
Bistatic Mimo Radar
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