基于FRFT-CLEAN的机动目标逆合成孔径激光雷达成像算法
doi: 10.3724/SP.J.1146.2012.01423
Inverse Synthetic Aperture Ladar Imaging Algorithm for Maneuvering Target Based on FRFT-CLEAN
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摘要: 逆合成孔径激光雷达(Inverse Synthetic Aperture Ladar, ISAL)对机动目标成像时,其回波信号存在距离向色散和方位向多普勒时变的问题。对于机动性满足二阶运动近似的目标,分析了其ISAL回波信号特征,该文提出一种基于FRFT-CLEAN的ISAL成像算法。该算法利用分数阶Fourier变换(FRactional Fourier Transform, FRFT)消除距离色散。在运动补偿后,利用FRFT并结合CLEAN技术(FRFT-CLEAN)实现对机动目标的方位成像。仿真实验证明了该方法的有效性。
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关键词:
- 逆合成孔径激光雷达(ISAL) /
- 机动目标 /
- 分数阶Fourier变换 /
- CLEAN技术
Abstract: When imaging maneuvering target with Inverse Synthetic Aperture Ladar (ISAL), dispersion and Doppler frequency time-variation exist in the echo signal in range and cross-range direction, respectively. For targets of which the maneuverability can be approximated as a second-order motion, the characteristics of the ISAL echo signal are analyzed, and an imaging algorithm based on FRactional Fourier Tronsform(FRFT-CLEAN) is proposed. FRFT is used for range dispersion elimination. After motion compensation, a method combining FRFT and CLEAN technique (FRFT-CLEAN) is proposed for azimuth imaging. Simulation results demonstrate the validity of this algorithm.
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