Abstract:

Owing to the ability of accurately modeling geometric and polarimetric scattering feature of a target, polarimetric three-dimensional scattering center model has been prevailing as one of the effective approaches for target recognition. With the objective of solving the high computational complexity and longtime consumption caused by the traditional matching method in polarimetric high resolution range profile (HRRP), a novel recognition method for polarimetric HRRP based on model matching and pre-classification approaches is proposed. Firstly, the proposed method classifies the radar targets based on the scattering mechanism to reduce the number of matching models. Then, the geometric and polarimetric information of the scattering center extracted from polarimetric HRRP is used to create the match indicator. Finally, the targets are recognized by employing the match indicator. Experimental results based on electromagnetic data demonstrate that the proposed method outperforms the traditional matching method in terms of recognition accuracy, storage consumption and computational cost.