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作 者:赵凯恒 黄保涛 沈学勇[1] ZHAO Kaiheng;HUANG Baotao;SHEN Xueyong(Nanjing Research Institute of Electronics Technology,Nanjing 210039,China)
出 处:《空天预警研究学报》2022年第5期328-333,共6页JOURNAL OF AIR & SPACE EARLY WARNING RESEARCH
摘 要:针对机动目标ISAR成像常规时频分析算法运算量大、成像效率低的问题,提出一种基于频域阶跃估计和匹配傅里叶变换的快速成像方法.首先在传统的傅里叶域进行线性调频信号参数粗估计,然后再通过匹配傅里叶变换进行准确估计,可大幅减少在时频域坐标空间二维搜索次数.仿真分析表明,该方法提升了计算效率,在保证成像质量的前提下成像效率得到了大幅提高,对机动目标有很好的成像效果.The conventional time-frequency analysis algorithm for maneuvering targets’ISAR imaging has a large amount of computation and low imaging efficiency.In order to solve the above problem,this paper presents a rapid imaging method based on frequency-domain step estimation and matching Fourier transform.Firstly,the linear frequency modulation signal parameters are estimated roughly in the traditional Fourier domain,and then accurately estimated by matching the Fourier transform,which can greatly reduce the number of two-dimensional search times in time-frequency domain coordinate space.The simulation analysis shows that this method can improve the computational efficiency,greatly improve the imaging efficiency under the premise of guaranteeing the imaging quality,and has a good imaging effect on maneuvering targets.
关 键 词:机动目标 ISAR成像 时频分析 频域阶跃 匹配傅里叶变换
分 类 号:TN958[电子电信—信号与信息处理]
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