School of Electronic Engineering, Xidian University, Xi'an 710126, China.
Beijing Aerospace Automatic Control Institute, Beijing 100000, China.
Sensors (Basel). 2018 Oct 1;18(10):3303. doi: 10.3390/s18103303.
Different from microwave radar, laser radar could be more sensitive to the micro-Doppler (m-D) effect due to its wave length. This limits the application of conventional methods, such as time⁻frequency based approach, since the processing needs a receiver with much higher sampling frequency than microwave radar. In this paper, a micro-Doppler feature extraction algorithm is proposed for the inverse synthetic aperture imaging laser radar (ISAIL). Singular-spectrum analysis (SSA) is employed for separation and reconstruction of the micro-Doppler and rigid body signal. Clear ISAIL image is obtained by minimum entropy criteria after echo signal decomposition. After theoretical derivation, the computation efficiency and ability of the proposed method is proved by the results of simulation and real data of An-26.
与微波雷达不同，激光雷达由于其波长，对微多普勒（m-D）效应更为敏感。这限制了传统方法的应用，如基于时频的方法，因为处理需要比微波雷达高得多的采样频率的接收器。在本文中，针对逆合成孔径成像激光雷达（ISAIL），提出了一种微多普勒特征提取算法。奇异谱分析（SSA）用于微多普勒和刚体信号的分离和重建。通过回波信号分解后，通过最小熵准则得到清晰的 ISAIL 图像。经过理论推导，通过 An-26 的仿真和实测数据验证了该方法的计算效率和能力。
