Angle Estimation and Self-Calibration Using ISM and ESPRIT for Bistatic MIMO Radar with Gain and Phase Uncertainties

2013 ◽  
Vol 347-350 ◽  
pp. 287-291
Author(s):  
Jian Gong ◽  
Huan Wang ◽  
Zhi Long Li ◽  
Lin Wei

Most high-resolution angle estimation algorithms suffer from sensitivity to gain and phase uncertainties. In this letter, a novel ESPRIT-based algorithm, which uses the instrumental sensors method (ISM), is proposed for bistatic MIMO radar with gain and phase uncertainties. With the help of a few well-calibrated transmitting and receiving instrumental sensors, the proposed algorithm is able to achieve favorable and unambiguous angle estimation and accurate self-calibration without the knowledge of gain and phase uncertainties. Simulation results demonstrate the validity of the proposed method.

2013 ◽  
Vol 846-847 ◽  
pp. 1197-1200
Author(s):  
Jian Gong ◽  
Yi Duo Guo ◽  
Hui Xie ◽  
Zhi Long Li

Based on the theory that the steering vectors of coherently distributed targets for bistatic MIMO radar possess a property called Hadamard product rotational invariance (HPRI), a novel central angle estimation algorithm is derived. The proposed algorithm has the advantage of no searching and easily pair the estimated angles. Furthermore, it can deal with different coherently distributed targets with different angular distribution functions or unknown angular distribution functions. Simulation results show the proposed method is effective.


2018 ◽  
Vol 144 ◽  
pp. 61-67 ◽  
Author(s):  
Fangqing Wen ◽  
Zijing Zhang ◽  
Ke Wang ◽  
Guanqun Sheng ◽  
Gong Zhang

2011 ◽  
Vol 33 (7) ◽  
pp. 1684-1688
Author(s):  
Yi-duo Guo ◽  
Yong-shun Zhang ◽  
Lin-rang Zhang ◽  
Ning-ning Tong

Author(s):  
Yali Wang Yali Wang ◽  
Zhiguo Liu Zhiguo Liu ◽  
Zhonghai Yin Zhonghai Yin ◽  
Qiang Sun Qiang Sun ◽  
Xiaolong Liang Xiaolong Liang

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