Zeng Yonghu

Position estimation method for rotating part in Non-cooperation aerial target

Position estimation for rotating part in high resolution range profile is precondition for rotating part signal separation, when non-cooperation aerial target is observed by inverse synthetic aperture radar (ISAR). Position estimation methods for rotating part put forward in current literatures are not enough robust, when they are applied to real data. In this paper, based on formulation of high resolution range profile with rotating part, distribution characteristic of micro-motion component correspond to rotating part is analyzed at first, then position estimation method is put forward and ISAR real data is used to test the method. The processing result in real data shows effectiveness of the estimation method in this paper.

Bistatic Micro-Doppler Characteristics of Precession Targets

Micro-motion is one of the most important features for radar target recognition. Firstly, the bistatic micro- Doppler models corresponding to the bistatic scattering centers of the precession targets are derived. Then, The dynamic simulation method of the bistatic echo of the precession target is presented using the bistatic scattering coefficients obtained via electromagnetic calculations, and the bistatic scattering coefficients of the blunt-nosed biconical model are calculated using the multilevel fast multipole method. Finally, the theoretic analysis is verified by comparing the time- frequency distribution of the bistatic echo sequences with the theoretical bistatic micro-Doppler. This research is helpful for utilizing the bistatic micro- Doppler for feature extraction and recognition of spatial micro-motion targets.

Time-frequency analysis of polarimetric vector signal and its application in radar target recognition

The time-frequency analysis technology for polarimetric vector signal is discussed in this paper. Considering the particularity of polarimetric vector signal, a series of time-frequency transforms for this kind of vector signal are presented. With these transforms, both the description of its energy property and of its polarization property can be obtained in the time-frequency domain, while using conventional methods, only the former can be obtained. Then, we apply these new methods to target recognition experiment, and the recognition results show that these new methods have better performance than conventional ones.

Radar target's reciprocity correction based on polarimetric measurement error model

With the analysis of a polarimetric measurement error model, a novel radar targets reciprocity correction algorithm is presented based on a least degradation rule. After transforming the nonlinear optimal function of four variables with constraints to a nonlinear optimal function of two variables without constraints, the solution is given. Simulation results verify its feasibility and indicate its good performance.