Abstract:

A novel method of synthetic aperture radar (SAR) targets multi-aspect scattering feature extraction and recognition is proposed based on complex independent component analysis (CICA) of sequential high range resolution profiles (HRRP). According to the radar target scattering mechanism, the target HRRP is modeled as a complex linear coherent combination of multiple scattering centers response. The seperation of each scattering center response is performed using CICA on the basis of the analysis of a complex HRRP. 〖JP2〗For each scattering center response, feature vectors are extracted utilizing high order moments. Hidden Markov model (HMM) classifiers are designed for target recognition. The experiment results with moving and stationary target acquistion and recognition (MSTAR) data sets show that a good classification performance is obtained.