Multi-target localization for bistatic MIMO radar in the presence of unknown mutual coupling

2012 ◽  
Vol 23 (5) ◽  
pp. 708-714 ◽  
Author(s):  
Zhidong Zheng ◽  
Jianyun Zhang ◽  
Yuebo Wu
Keyword(s):  
Mutual Coupling ◽  
Mimo Radar ◽  
Target Localization ◽  
Bistatic Mimo Radar

A nested-PARAFAC based approach for target localization in bistatic MIMO radar systems

2019 ◽  
Vol 89 ◽  
pp. 40-48 ◽  
Author(s):  
Paulo R.B. Gomes ◽  
André L.F. de Almeida ◽  
João Paulo C.L. da Costa ◽  
Rafael T. de Sousa
Keyword(s):  
Mimo Radar ◽  
Target Localization ◽  
Bistatic Mimo Radar ◽  
Radar Systems

scholarly journals Target Localization Methods Based on Iterative Super-Resolution for Bistatic MIMO Radar

Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 341
Author(s):  
Jianhe Du ◽  
Meng Han ◽  
Libiao Jin ◽  
Yan Hua ◽  
Shufeng Li
Keyword(s):  
Multiple Input Multiple Output ◽  
Super Resolution ◽  
Single Pulse ◽  
Doa Estimation ◽  
Mimo Radar ◽  
Target Localization ◽  
Localization Accuracy ◽  
Bistatic Mimo Radar ◽  
Multiple Pulse ◽  
Direction Of Departure

The direction-of-departure (DOD) and the direction-of-arrival (DOA) are important localization parameters in bistatic MIMO radar. In this paper, we are interested in DOD/DOA estimation of both single-pulse and multiple-pulse multiple-input multiple-output (MIMO) radars. An iterative super-resolution target localization method is firstly proposed for single-pulse bistatic MIMO radar. During the iterative process, the estimated DOD and DOA can be moved from initial angles to their true values with high probability, and thus can achieve super-resolution estimation. It works well even if the number of targets is unknown. We then extend the proposed method to multiple-pulse configuration to estimate target numbers and localize targets. Compared with existing methods, both of our proposed algorithms have a higher localization accuracy and a more stable performance. Moreover, the proposed algorithms work well even with low sampling numbers and unknown target numbers. Simulation results demonstrate the effectiveness of the proposed methods.

Fast Multi-target Localization with Sparse Array in Bistatic MIMO Radar

2014 ◽  
Vol 35 (5) ◽  
pp. 1142-1148 ◽  
Author(s):  
Li Sun ◽  
Xiao-hua Zhu ◽  
Ya-peng He ◽  
Ke-rang Wang ◽  
Chen Gu
Keyword(s):  
Mimo Radar ◽  
Target Localization ◽  
Bistatic Mimo Radar ◽  
Sparse Array

Joint Polarization and Angle Estimation for Robust Multi-Target Localization in Bistatic MIMO Radar

2012 ◽  
Vol 7 (12) ◽  
Author(s):  
Hong Jiang ◽  
Yu Zhang ◽  
Hong-jun Liu ◽  
Xiao-hui Zhao ◽  
Chang Liu
Keyword(s):  
Mimo Radar ◽  
Target Localization ◽  
Angle Estimation ◽  
Bistatic Mimo Radar

Tensor-based real-valued subspace approach for angle estimation in bistatic MIMO radar with unknown mutual coupling

2015 ◽  
Vol 116 ◽  
pp. 152-158 ◽  
Author(s):  
Xianpeng Wang ◽  
Wei Wang ◽  
Jing Liu ◽  
Qi Liu ◽  
Ben Wang
Keyword(s):  
Mutual Coupling ◽  
Mimo Radar ◽  
Angle Estimation ◽  
Bistatic Mimo Radar
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