Avian detection and identification with high-resolution radar

Bird strike hazards take place frequently in the world without prediction, destroying the expensive aircrafts, killing the pilots and the passengers, and bringing people disaster and sorrow. The conventional visual techniques don't work at night or on the foggy and rainy days; even the weather radars couldn't identify the birds accurately for its low resolution. In this paper, a novel method of avian detection and identification based on ISAR feature extraction techniques is proposed. The paper mainly discussed some key problems in feature extraction of ISAR targets. The method of imaging and micro-Doppler feature extraction based on frequency-stepped chirp radar is discussed. Parameters of the radar for avian detection and identification are designed. Then, imaging and micro-Doppler feature extraction is applied in avian detection and identification. Finally, some problems to study later are also discussed.