Rotational Angular Velocity Estimation of Rotor Target via 3D-OMP-Based Parametric Sparse Representation

Wang, Wantian; Tang, Ziyue; Chen, Yi‐Chang; Fu, Ying; Zhu, Zhenbo; Sun, Yongjian

doi:10.1109/jsen.2021.3062042

Cited by 3 publications

(2 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Currently, scholars have conducted indepth research on the modeling and feature extraction methods of helicopter. There are three main modeling methods: (1) RCS model [4][5], which obtains echoes by calculating the target backward scattering field and can fully consider the scattering characteristics of the target, and the model is the most accurate, but the calculation is too complicated; (2) Scattering point model [6][7], which is the most traditional and applied modeling method, analyzes the target by equating it into a number of scattering points. This method can be applied into complex scenes with non-uniform distribution and different scattering intensity, but the amount of computation increases with the increase of the number of scattering points; (3) Integral model [8][9][10][11], which equates the target as a rigid, uniform line, with simple mathematical calculation, can reflect the structural differences of the target as a whole.…”

Section: Introductionmentioning

confidence: 99%

“…Since the target echoes naturally have sparse characteristics, the micro-Doppler signal can be analyzed by sparse reconstruction methods. These methods based on the sinusoidal modulation property of the micro-Doppler signal, construct the corresponding sparse dictionary, and invert the micro-Doppler components by algorithms such as Orthogonal Matching Pursuit (OMP) [6,21], which obtains a good estimation under subsampling conditions but is not robust when the search grid mismatched.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Feature Extraction Method of Helicopter Target Based on Flicker Phenomenon Combined With Phase Compensation

Xia¹,

Yang²,

Sun³

et al. 2022

IEEE Access

View full text Add to dashboard Cite

For the typical multi-component periodic micro-Doppler signal parameter estimation, a helicopter rotor feature extraction method based on flicker phenomenon and phase compensation is proposed in this paper. The method firstly analyzes the formation mechanism of helicopter rotor flicker phenomenon in time domain and time-frequency domain through the integral model. Then the demodulation operator of the micro-Doppler signal is constructed for the phase compensation of the echoes with respect to the time-frequency flicker characteristics and the phase information of the slow time dimension of the target echoes. The parameter combination of the possible number of blades and rotational speed is predicted using the time domain flicker interval, and the phase compensation process is evaluated and optimized to significantly reduce the amount of computation. Finally, the parameter estimation of rotor blade number, blade length and rotational speed is acquired by calculating whether the center frequency of each flicker after phase compensation is periodically focused to zero frequency. The simulation results show that the method can effectively estimate the main parameters of helicopter rotor blades, and the processing results of the measured data show that the proposed method has more stable performance compared with OMP algorithm and Hough transform, which provides a new technical way for helicopter rotor blade feature extraction.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Feature Extraction Method of Helicopter Target Based on Flicker Phenomenon Combined With Phase Compensation

Xia¹,

Yang²,

Sun³

et al. 2022

IEEE Access

View full text Add to dashboard Cite

show abstract

A Complex Modal Local Mean Decomposition Method

Niu,

Lin,

et al. 2024

2024 9th International Conference on Electronic Technology and Information Science (ICETIS)

View full text Add to dashboard Cite

Three-Dimensional Reconstruction of Precession Warhead Based on Multi-View Micro-Doppler Analysis

Zhang,

Wang,

Mao

2024

J. of Syst. Eng. Electron.

View full text Add to dashboard Cite

The warhead of a ballistic missile may precess due to lateral moments during release. The resulting micro-Doppler effect is determined by parameters such as the target's motion state and size. A three-dimensional reconstruction method for the precession warhead via the micro-Doppler analysis and inverse Radon transform (IRT) is proposed in this paper. The precession parameters are extracted by the micro-Doppler analysis from three radars, and the IRT is used to estimate the size of targe. The scatterers of the target can be reconstructed based on the above parameters. Simulation experimental results illustrate the effectiveness of the proposed method in this paper.

show abstract

Rotational Angular Velocity Estimation of Rotor Target via 3D-OMP-Based Parametric Sparse Representation

Cited by 3 publications

References 36 publications

Feature Extraction Method of Helicopter Target Based on Flicker Phenomenon Combined With Phase Compensation

Feature Extraction Method of Helicopter Target Based on Flicker Phenomenon Combined With Phase Compensation

A Complex Modal Local Mean Decomposition Method

Three-Dimensional Reconstruction of Precession Warhead Based on Multi-View Micro-Doppler Analysis

Contact Info

Product

Resources

About