用线性调频步进体制高分辨雷达对鸟类目标进行ISAR成像是一个全新且重要的技术途径。鸟类目标振动翅膀带来严重的微多普勒效应,直接利用距离-多普勒成像算法效果欠佳。在分析了线性调频步进体制ISAR成像原理的基础上,提出了一种基于最小波形熵准则的谱图拼接成像方法,明显改善了鸟类目标成像效果。仿真结果证明了其可行性和有效性。
It is a novel and vital approach of bird monitoring to get the images of birds by ISAR with high-resolution radar of frequency-stepped chirp, which is quite significant for security and development of human aviation. The serious micro-Doppler effects generated by birds' flapping deteriorate the imaging quality via classical range-Doppler method. Based on the principle of producing micro-Doppler effects with the frequency-stepped chirp radar, a novel spectrogram join-togegher imaging method for birds based on minimum waveform entropy criterion is proposed, which can improve imaging quality obviously. Simulation results have proved the feasibility and effectiveness of the method.