Parameter Estimation Method for High-Speed Target Using Bistatic MIMO Radar with Dual-Frequency Transmitters

2015 ◽  
Vol 85 (4) ◽  
pp. 2083-2098 ◽  
Author(s):  
Jinli Chen ◽  
Peng Li ◽  
Yanping Zhu ◽  
Jiaqiang Li
2013 ◽  
Vol 333-335 ◽  
pp. 611-615
Author(s):  
Hua Ling Guo ◽  
Bin Zheng ◽  
Li Ping Liu

To solve the effect of the range imaging broadening, the speed estimation of high-speed non-cooperative target of inverse synthetic aperture lidar translated for the estimation of the frequency modulation slope. A parameter estimation method of fractional Fourier transform (FRFT) was presented. This method could effectively estimate the frequency modulation slope. Under low SNR, the error of the estimate was less than 0.03. The research laid the foundation for velocity compensation and 2-D range-Doppler imaging of the follow-up.


2015 ◽  
Vol 2015 ◽  
pp. 1-9 ◽  
Author(s):  
Jian-wei Yang ◽  
Man-feng Dou ◽  
Zhi-yong Dai

Taking advantage of the high reliability, multiphase permanent magnet synchronous motors (PMSMs), such as five-phase PMSM and six-phase PMSM, are widely used in fault-tolerant control applications. And one of the important fault-tolerant control problems is fault diagnosis. In most existing literatures, the fault diagnosis problem focuses on the three-phase PMSM. In this paper, compared to the most existing fault diagnosis approaches, a fault diagnosis method for Interturn short circuit (ITSC) fault of five-phase PMSM based on the trust region algorithm is presented. This paper has two contributions. (1) Analyzing the physical parameters of the motor, such as resistances and inductances, a novel mathematic model for ITSC fault of five-phase PMSM is established. (2) Introducing an object function related to the Interturn short circuit ratio, the fault parameters identification problem is reformulated as the extreme seeking problem. A trust region algorithm based parameter estimation method is proposed for tracking the actual Interturn short circuit ratio. The simulation and experimental results have validated the effectiveness of the proposed parameter estimation method.


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