Parametric Instantaneous Frequency Estimation via PWSR With Adaptive QFM Dictionary

Yang, Yang; Cheng, Yongqiang; Hao, Wu; Yang, Zheng; Wang, Hongqiang

doi:10.1109/lsp.2023.3287129

Cited by 3 publications

(1 citation statement)

References 29 publications

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“…Traditional radar detection systems [1][2][3][4] mainly rely on the relative motion of the radar and the target along the line of sight direction, that is, a linear Doppler frequency shift, to obtain the motion information of the target. However, because of how planar electromagnetic waves work, the line Doppler frequency shift of the target echo will disappear when the target's motion is perpendicular to the direction of its propagation.…”

Section: Introductionmentioning

confidence: 99%

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

Zhang,

Zhu,

Chen

et al. 2024

Remote Sensing

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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.

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Section: Introductionmentioning

confidence: 99%