A novel method of identifying moving status of bird based on waveform entropy variance

Surveillance for bird is quite significant for security and development of humanpsilas aviation. ISAR imaging for bird with frequency-stepped chirp high-resolution radar is a novel and vital approach. However, the quality of image could be deteriorated by micro-Doppler effects resulting from birdpsilas flapping wings, and even target can not be identified successfully by radar. It is extraordinarily vital to identify whether bird is gliding or flapping accurately to achieve its clearer image. In this paper, an operated and valid method of identifying moving status of bird with waveform entropy variance is proposed via processing each HRRP(high-resolution range profile) from spectrogram, after the principle of micro-Doppler based on ISAR imaging with frequency-stepped chirp signal is analyzed. The effectiveness of the proposed method is proved by simulation results.