4-D parameter estimation in bistatic MIMO radar for near-field target localization

Author(s):  
Erning Zhou ◽  
Hong Jiang ◽  
Han Qi
2016 ◽  
Vol 52 (12) ◽  
pp. 1060-1061 ◽  
Author(s):  
P.R. Singh ◽  
Y. Wang ◽  
P. Chargé

2014 ◽  
Vol 989-994 ◽  
pp. 3710-3713
Author(s):  
Li Li

This paper takes the-stable distribution as the noise model and works on the parameter estimation problem of bistatic Multiple-Input Multiple-Output (MIMO) radar system in the impulsive noise environment.This paper presents a signal model and a novel method for parameter estimation in bistatic MIMO radar system in the impulsive noise environment. Firstly, a signal array model is constructed based on the-stable distribution model. Secondly, Doppler parameters are jointly estimated by searching the optimal rotation angle to meet concentrated-energy of the FLOS-FC. Furthermore, two algorithms are presented for the estimation of DODs and DOAs, including based on FLOS-MUSIC algorithm and FLOS-ESPRIT algorithm. Simulation results are presented to verity the effectiveness of the proposed method.


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

Electronics ◽  
2020 ◽  
Vol 9 (2) ◽  
pp. 341
Author(s):  
Jianhe Du ◽  
Meng Han ◽  
Libiao Jin ◽  
Yan Hua ◽  
Shufeng Li

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.


2014 ◽  
Vol 35 (5) ◽  
pp. 1142-1148 ◽  
Author(s):  
Li Sun ◽  
Xiao-hua Zhu ◽  
Ya-peng He ◽  
Ke-rang Wang ◽  
Chen Gu

2014 ◽  
Vol 35 (8) ◽  
pp. 1847-1853
Author(s):  
Zhi-dong Zheng ◽  
Qing-song Zhou ◽  
Jian-yun Zhang ◽  
Bo Yang

Sign in / Sign up

Export Citation Format

Share Document