A fast coherent integration algorithm for maneuvering target detection and high-order motion parameter estimation

2021 ◽  
Author(s):  
Y. Sun ◽  
M. Zhan ◽  
J. Chen ◽  
X. Wan ◽  
Y. Liu ◽  
...  
Keyword(s):  
Parameter Estimation ◽  
Target Detection ◽  
High Order ◽  
Motion Parameter ◽  
Integration Algorithm ◽  
Maneuvering Target ◽  
Motion Parameter Estimation ◽  
Coherent Integration

Approach for space‐based radar manoeuvring target detection and high‐order motion parameter estimation

2015 ◽  
Vol 9 (6) ◽  
pp. 732-741 ◽  
Author(s):  
Penghui Huang ◽  
Guisheng Liao ◽  
Zhiwei Yang ◽  
Yuxiang Shu ◽  
Wentao Du
Keyword(s):  
Parameter Estimation ◽  
Target Detection ◽  
High Order ◽  
Motion Parameter ◽  
Motion Parameter Estimation

scholarly journals An Efficient Ground Manoeuvring Target Refocusing Method Based on Principal Component Analysis and Motion Parameter Estimation

2020 ◽  
Vol 12 (3) ◽  
pp. 378
Author(s):  
Dong Li ◽  
Haining Ma ◽  
Hongqing Liu ◽  
Zhanye Chen ◽  
Jia Su ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Parameter Estimation ◽  
Principal Component ◽  
Component Analysis ◽  
High Order ◽  
Motion Parameter ◽  
Cubic Phase ◽  
Motion Parameter Estimation ◽  
Imaging Results ◽  
Motion Parameters

Refocusing ground manoeuvring targets with complex motions in synthetic aperture radar (SAR) remains a challenging objective because of the large range of cell migration (RCM) and time-varying Doppler frequency modulation (DFM). By exploiting the geometric information of RCM and two-dimensional (2-D) coherently integrated gain, a fast ground manoeuvring target refocusing method using principal component analysis (PCA) and high-order motion parameter estimation is proposed. First, an efficient phase difference (PD) method and PCA are utilized to correct the RCM, and then, the energy of the ground manoeuvring target is concentrated into the same range bin. Second, by utilizing the coherently integrated cubic phase function (CICPF) that was developed in our previous work, the motion parameters are obtained accurately, and the manoeuvring target is thus well refocused into a sharp peak point based on the estimated motion parameters. The proposed method is of low computational complexity because it avoids time-consuming search and interpolation operations and demonstrates an improved anti-noise performance due to fully exploiting the 2-D coherent accumulation characteristics for estimating motion parameters and enhanced refocused imaging results for manoeuvring targets due to adopting the high-order motion model. Finally, experiments are conducted using simulated and real SAR data to show the performance of the proposed method.

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
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