Parameters estimation of sinusoidal frequency modulation signal with application in synthetic aperture radar imaging

被引：10
|
作者：
Wang, Yong [1 ]
Wang, Zhaofa [1 ]
Zhao, Bin [1 ]
Xu, Liang [1 ]
机构：
[1] Harbin Inst Technol, Res Inst Elect Engn Technol, Harbin 150001, Peoples R China
来源：
JOURNAL OF APPLIED REMOTE SENSING | 2016年 / 10卷
基金：
美国国家科学基金会; 中国国家自然科学基金;
关键词：
sinusoidal frequency modulation signal; discrete sinusoid frequency modulation transform; particle swarm optimization; parameters estimation; PARTICLE SWARM OPTIMIZATION;
D O I：
10.1117/1.JRS.10.020502
中图分类号：
X [环境科学、安全科学];
学科分类号：
08 ; 0830 ;
摘要：
A method for estimating the parameters of the sinusoidal frequency modulation (SFM) signal is presented in this paper. Based on the modified discrete sinusoid frequency modulation transform (DSFMT), the SFM signal can be transformed into the DSFMT domain where it is energy-concentrated and then the parameters can be estimated by the global maximum. To search for the location of the global maximum with less computational load, particle swarm optimization is used in this paper. Then the algorithm is used in the synthetic aperture radar imaging with high frequency vibration of the platform, and the focus performance can be improved significantly. Simulation results demonstrate the effectiveness of the method proposed in this paper. (C) 2016 Society of Photo-Optical Instrumentation Engineers (SPIE)
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页数：8
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