太赫兹雷达空间目标异动行为认知研究OA

Behavior analysis and cognition of space targets are crucial for the in-orbit safety maintenance and status monitoring of space assets.Terahertz(THz)radar,with its short wavelength,large bandwidth,and significant Doppler effect,offers unique advantages in the inversion and identification of anomalies in space targets.Previous studies primarily focuses on known full-process anomalies,while studies on unknown behaviors,particularly those involving the moment of anomaly occurrence,remain limited.This paper first establishes an anomaly model for typical space objects and simulates their echoes.Subsequently,a multidimensional feature analysis framework integrating time-domain signals,one-dimensional range images,micro-Doppler data,and two-dimensional imaging is constructed.The effectiveness of this method is validated using actual measurement data.Results indicate that phase discontinuities indicate the onset of anomaly events;shifts and distortions in the one-dimensional range image correlate with orbital anomalies;micro-Doppler features and local distortions in the two-dimensional image are closely associated with attitude and shape anomalies.Signal characteristics derived from terahertz radar enable precise localization of anomaly onset and classification of anomaly types,providing a systematic technical approach for real-time recognition of space object anomaly behavior.