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鸟类目标的实时探测与准确识别具有重要意义。提出一种基于压缩感知的逆合成孔径激光雷达鸟类目标探测、成像与识别方法。该方法先利用光外差手段和压缩感知采样来大幅降低鸟类目标逆合成孔径激光雷达回波信号距离向上的采样率,再利用时频分析方法来判别鸟类目标运动状态,然后利用压缩感知重构算法来获得鸟类目标高分辨二维像以及利用拟合算法来提取鸟类目标微多普勒特征。结合获得的高分辨二维像和微多普勒特征可共同进行鸟类目标的鉴别和识别。仿真结果验证了文中方法的有效性。
Real-time detection of bird targets and accurate identification is of great significance. A target detection, imaging and recognition method based on compressive sensing for inverse synthetic aperture laser radar is proposed. The method first uses light heterodyne method and compressed sensing sampling to reduce the sampling rate of birds’ target inverse synthetic aperture Lidar echo signal distance upward, and then uses the time-frequency analysis method to determine the bird’s target moving state, and then uses the compression perception Reconstruction algorithm to obtain birds target high resolution two-dimensional images and the use of fitting algorithm to extract bird targets micro-Doppler features. The combination of high-resolution two-dimensional images and micro-Doppler features can be used to identify and identify bird targets. Simulation results verify the effectiveness of the proposed method.