scholarly journals Translation compensation and micro-motion parameter estimation of laser micro-Doppler effect

2018 ◽  
Vol 67 (15) ◽  
pp. 150701
Author(s):  
Guo Li-Ren ◽  
Hu Yi-Hua ◽  
Dong Xiao ◽  
Li Min-Le
Keyword(s):  
Parameter Estimation ◽  
Doppler Effect ◽  
Motion Parameter ◽  
Motion Parameter Estimation ◽  
Micro Motion

Laser Micro-Motion Parameter Estimation of High-Order Moving Target Based on Improved Particle Filter

2018 ◽  
Vol 38 (9) ◽  
pp. 0912006
Author(s):  
郭力仁 Guo Liren ◽  
胡以华 Hu Yihua ◽  
王云鹏 Wang Yunpeng ◽  
徐世龙 Xu Shilong
Keyword(s):  
Parameter Estimation ◽  
Particle Filter ◽  
High Order ◽  
Motion Parameter ◽  
Moving Target ◽  
Motion Parameter Estimation ◽  
Micro Motion

scholarly journals 2-D Joint Sparse Reconstruction and Micro-Motion Parameter Estimation for Ballistic Target Based on Compressive Sensing

Sensors ◽  
2020 ◽  
Vol 20 (16) ◽  
pp. 4382
Author(s):  
Jiaqi Wei ◽  
Shuai Shao ◽  
Lei Zhang ◽  
Hongwei Liu
Keyword(s):  
Parameter Estimation ◽  
Compressive Sensing ◽  
Matching Pursuit ◽  
Motion Parameter ◽  
Model Complexity ◽  
Sparse Reconstruction ◽  
Echo Signal ◽  
Joint Processing ◽  
Motion Parameter Estimation ◽  
Micro Motion

The sparse frequency band (SFB) signal presents a serious challenge to traditional wideband micro-motion curve extraction algorithms. This paper proposes a novel two-dimension (2-D) joint sparse reconstruction and micro-motion parameter estimation (2D-JSR-MPE) algorithm based on compressive sensing (CS) theory. In this technique, the 2D-JSR signal model and the micro-motion parameter dictionary are established based on the segmented SFB echo signal, in which the idea of piecewise effectively reduces the model complexity of ballistic target. With the accommodation of the CS theory, the 2D-JSR-MPE of the echo signal is transformed into solving a sparsity-driven optimization problem. Via an improved orthogonal matching pursuit (OMP) algorithm, the high-resolution range profiles (HRRP) can be reconstructed accurately, and the precise micro-motion curves can be simultaneously extracted on phase accuracy. The employment of 2-D joint processing can effectively avoid the interference of the sparse reconstruction error caused by cascaded operation in the subsequent micro-motion parameter estimation. The proposed algorithm benefits from the anti-jamming characteristic of the SFB signal and 2-D joint processing, thus remarkably enhancing its accuracy, robustness and practicality. Extensive experimental results are provided to verify the effectiveness and robustness of the proposed algorithm.

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