Micro-motion target detection algorithm of IRT based large dynamic reflection coefficient

被引：0
|
作者：
Zhou Y. [1 ]
Bi D. [1 ]
Shen A. [1 ]
机构：
[1] College of Electronic Engineering, National University of Defense Technology, Hefei
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2020年 / 42卷 / 09期
关键词：
Inverse Radon transform (IRT); Masking phenomenon; Micro-Doppler effect; Reflection coefficient; Sinusoidal frequency modulation (SFM); Time-frequency analyze;
D O I：
10.3969/j.issn.1001-506X.2020.09.08
中图分类号：
学科分类号：
摘要：
When there are micro-motion targets with large differences in the radar echo signals, the components of the weak reflection targets are often masked by the strong reflection targets and noise, which makes the weak reflection targets difficult to be detected. To solve the problem, a detection algorithm of large dynamic reflection coefficient micro-motion target is proposed. Firstly, the inverse Radon transform (IRT) algorithm is used to obtain the parameter estimation value of the strongest reflection components, and then the weak components are enhanced by removing the strong componens one by one, which makes the weak components easier to be detected. This algorithm applies to detect micro-motion targets with different reflection coefficients and has high precision of parameter estimation. The simulation experiments show that the validity of the algorithm. At the same time, the performance of the algorithm is analyzed. © 2020, Editorial Office of Systems Engineering and Electronics. All right reserved.
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页码：1935 / 1944
页数：9
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