Abstract:

Multi-aspect sythetic aperture radar (SAR) target recognition based on combined time-frequency feature and hidden Markov model (HMM) is investigated. HMM is a powerful tool to analyze and recognize the characteristics of  multi-aspect SAR targets as a framework. One of the critical technique is feature extraction from the high resolution range profile (HRRP) of target echoes in the framework. A time-varying frequency factor weighted Fisher discrimination time-frequency spectra feature extraction method is proposed. Recognition experiments are performed by the feature extraction method and HMM, which shows that the performance of this feature extraction method is effective.