Parameter Extraction of Accelerated Moving Targets under Non-Quasi-Axial Incidence Conditions Based on Vortex Electromagnetic Wave Radar

Author:

Zhang Lingling1ORCID,Zhu Yongzhong1,Chen Yijun12,Xie Wenxuan1,Yuan Hang3

Affiliation:

1. College of Information Engineering, Engineering University of the PAP, Xi’an 710086, China

2. The National Key Laboratory of Radar Signal Processing, Xidian University, Xi’an 710071, China

3. The Institute of Information and Navigation, Air Force Engineering University, Xi’an 710077, China

Abstract

Vortex electromagnetic wave radar carrying orbital angular momentum can compensate for the deficiency of planar electromagnetic wave radar in detecting motion parameters perpendicular to the direction of electromagnetic wave propagation, thus providing more information for target recognition, which has become a hot research field in recent years. However, existing research makes it difficult to obtain the acceleration and rotation centers of targets under non-quasi-axial incidence conditions of vortex electromagnetic waves. Based on this, this article proposes a variable speed motion target parameter extraction method that combines single element and total element echoes. This method can achieve three-dimensional information extraction of radar targets based on a uniform circular array (UCA). Firstly, we establish a non-quasi-axis detection echo model for variable-speed moving targets and extract echoes from different array elements. Then, a single element echo is used to extract the target’s range slow time profile and obtain the target’s rotation center z coordinate. We further utilize the target linear, angular Doppler frequency shift extremum, and median information to extract parameters such as target acceleration, tilt angle, rotation radius, and rotation center x and y coordinates. We analyzed the impact of different signal-to-noise ratios and motion states on parameter extraction. The simulation results have verified the effectiveness of the proposed algorithm.

Funder

National Natural Science Foundation of China

Youth Innovation Team of Shaanxi Universities

Publisher

MDPI AG

Reference27 articles.

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