Complex two-dimensional TNIPM forl1norm-based sparse optimization to collocated MIMO radar

2015 ◽  
Vol 11 (2) ◽  
pp. 228-235 ◽  
Author(s):  
Mohammad Jabbarian-Jahromi ◽  
Mohammad Hossein Kahaei
Keyword(s):  
Mimo Radar ◽  
Sparse Optimization ◽  
Two Dimensional

scholarly journals Transmit and Receive Array Structure Design of Two-Dimensional hybrid Phased-MIMO Radar based on Nested Array

2018 ◽  
Vol 232 ◽  
pp. 02052
Author(s):  
Tianhao Cheng ◽  
Buhong Wang ◽  
Qiaoge Liu ◽  
Jiwei Tian
Keyword(s):  
Design Method ◽  
Doa Estimation ◽  
Mimo Radar ◽  
Structure Design ◽  
Estimation Accuracy ◽  
Two Dimensional ◽  
Simulation Experiments ◽  
Virtual Array ◽  
Array Structure ◽  
Receive Array

In order to reduce the loss of Degree of Freedom (DOF) brought by the transmit subarray splitting of two-dimensional hybrid phased-MIMO radar, this paper presents a design method of transmitting and receiving array based on nested array structure. Firstly, a two-dimensional hybrid phased-MIMO radar transmitting array based on one-dimensional nested array is presented. On this basis, the receiving end is set as a nested array, and finally a virtual array and difference coarray are formed to expand the number of virtual array elements. The expansion increases the DOF of arrays while preserving the advantages of hybrid phased-MIMO radars. Simulation experiments show that compared with the traditional and coprime hybrid phased-MIMO radar, the proposed method can effectively improve the array DOF and Direction-of-Arrival (DOA) estimation accuracy.

scholarly journals Efficient two-dimensional compressive sensing in MIMO radar

2017 ◽  
Vol 2017 (1) ◽  
Author(s):  
Nafiseh Shahbazi ◽  
Aliazam Abbasfar ◽  
Mohammad Jabbarian-Jahromi
Keyword(s):  
Compressive Sensing ◽  
Mimo Radar ◽  
Two Dimensional

Multi-Target Direction Measurement of Bistatic MIMO Radar

2014 ◽  
Vol 556-562 ◽  
pp. 2797-2801
Author(s):  
Jing Fang Wang
Keyword(s):  
Multiple Input Multiple Output ◽  
Mimo Radar ◽  
Radar Signal ◽  
Great Success ◽  
Two Dimensional ◽  
Signal Model ◽  
Bistatic Mimo Radar ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Mimo Technology

Multiple-input multiple output (MIMO) radar has been widespread concern in the domestic and foreign researchers. Bistatic radar draws on the great success of MIMO technology in the communications field, and it has many advantages over conventional radar. The direction angles estimations of bistatic MIMO radar are researched. To contrast traditional radar DOA estimates, the direction vector of the bistatic MIMO radar is the Knonecker plot of the emission vector and reception vector, that two-dimensional direction angles is estimated. To solve this problem, the principle of bistatic MIMO radar signal model is in-depthly researched.By proposing Capon dimensionality reduction method, the two-dimensional directions of the dual-based MIMO radar are estimated, and computer simulation is to verify the effectiveness of the method.

scholarly journals A New Algorithm Based on Cyclic Statistics for Two-Dimensional MIMO Radar

IERI Procedia ◽  
2012 ◽  
Vol 3 ◽  
pp. 8-14
Author(s):  
Yang Wang ◽  
Hong Jiang ◽  
Ying Gao ◽  
Yu Shi
Keyword(s):  
Mimo Radar ◽  
Two Dimensional ◽  
Cyclic Statistics
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