Micro-Motion Parameter Extraction of Multi-Scattering-Point Target Based on Vortex Electromagnetic Wave Radar

Bu, Lijun; Zhu, Yongzhong; Chen, Yijun; Song, Xiaoou; Yang, Yufei; Zang, Yadan

doi:10.3390/rs14235908

Cited by 9 publications

(5 citation statements)

References 25 publications

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“…Then, according to the references [25][26][27], it can be seen that after performing dechirp processing on the above signal and performing fast Fourier transform on the fast time t k dimension, the above equation becomes…”

Section: Echo Model Of Variable-speed Moving Targets Under Non-quasi-...mentioning

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: Echo Model Of Variable-speed Moving Targets Under Non-quasi-...mentioning

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

Self Cite

View full text Add to dashboard Cite

show abstract

“…[6][7][8] In addition, the coupling between OAM of electromagnetic wave and mechanical momentum has been utilized to manipulate particles. [9] In recent years, the rotational Doppler effect of vortex electromagnetic wave has offered a simple method to obtain threedimensional information of a moving object, such as velocity and acceleration. [10][11][12] So far, there have been extensive researches on vortex electromagnetic wave, including generation of high-quality OAM modes, [13,14] efficient detection method, [15] and its propagation characteristic through inhomogeneous medium.…”

Section: Introductionmentioning

confidence: 99%

Detection accuracy of target accelerations based on vortex electromagnetic wave in keyhole space

Guo 郭,

Lei 雷,

Lei 雷

et al. 2024

Chinese Phys. B

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In this paper, the influence of detecting targets’ longitudinal and angular accelerations based on vortex electromagnetic waves in keyhole space is analyzed. The spectrum spread of different orbital angular momentum (OAM) modes under different non-line-of-sight situations is analyzed by simulation. The errors of target’ accelerations in detection are calculated and compared based on the OAM spectra spreading by using two combinations of composite OAM modes in the keyhole space. According to the research, the effect about spectrum spread of higher OAM modes is more obvious. The errors in detection are mainly affected by OAM spectra spreading, which can be reduced by reasonable using different combinations of OAM modes in different practical situations. It provides a referential mind to encounter keyhole effect for detecting accelerations based on vortex electromagnetic waves.

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“…Compared to the pulse lidar, the advantage of the FMCW lidar in distance measurement is that the frequency modulation laser source can be integrated into a chip [ 21 ], and the received beat frequency represents the distance and Doppler information about the object. Useful information about the object can be detected and extracted in this beat frequency domain [ 22 ]. Furthermore, the FMCW lidar does not need to consider the issue of the large surge currents generated in the pulse lidar [ 23 ].…”

Section: Introductionmentioning

confidence: 99%

Decoupling and Parameter Extraction Methods for Conical Micro-Motion Object Based on FMCW Lidar

Yang,

Liu

et al. 2024

Sensors

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Micro-Doppler time–frequency analysis has been regarded as an important parameter extraction method for conical micro-motion objects. However, the micro-Doppler effect caused by micro-motion can modulate the frequency of lidar echo, leading to coupling between structure and micro-motion parameters. Therefore, it is difficult to extract parameters for micro-motion cones. We propose a new method for parameter extraction by combining the range profile of a micro-motion cone and the micro-Doppler time–frequency spectrum. This method can effectively decouple and accurately extract the structure and the micro-motion parameters of cones. Compared with traditional time–frequency analysis methods, the accuracy of parameter extraction is higher, and the information is richer. Firstly, the range profile of the micro-motion cone was obtained by using an FMCW (Frequency Modulated Continuous Wave) lidar based on simulation. Secondly, quantitative analysis was conducted on the edge features of the range profile and the micro-Doppler time–frequency spectrum. Finally, the parameters of the micro-motion cone were extracted based on the proposed decoupling parameter extraction method. The results show that our method can effectively extract the cone height, the base radius, the precession angle, the spin frequency, and the gravity center height within the range of a lidar LOS (line of sight) angle from 20° to 65°. The average absolute percentage error can reach below 10%. The method proposed in this paper not only enriches the detection information regarding micro-motion cones, but also improves the accuracy of parameter extraction and establishes a foundation for classification and recognition. It provides a new technical approach for laser micro-Doppler detection in accurate recognition.

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Micro-Motion Parameter Extraction of Multi-Scattering-Point Target Based on Vortex Electromagnetic Wave Radar

Cited by 9 publications

References 25 publications

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

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

Detection accuracy of target accelerations based on vortex electromagnetic wave in keyhole space

Decoupling and Parameter Extraction Methods for Conical Micro-Motion Object Based on FMCW Lidar

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