Aircraft Target Classification Method Based on Eemd and Multifractal

Abstract

Due to the limitation of low-resolution radar system and the influence of background clutter in the detection process, it is hard for low-resolution radars to classify and identify aircraft targets. To solve the above problems, a classification method for aircraft based on Ensemble Empirical Mode Decomposition (EEMD) and multifractal is proposed, in which the intrinsic modes are obtained by EEMD, and the waveform entropy in the Doppler domain is used to screen and reconstruct the intrinsic modes. The multifractal feature of the target echo data is extracted from the reconstructed signal, and then the aircraft target classification and recognition experiment is carried out with support vector machine. The experimental results show that the feature data extracted by ensemble empirical mode decomposition and multifractal analysis can be used for the classification and identification of civil aircraft and fighter aircraft, and the accuracy rate is about 98.5%, which is higher than that of timedomain multifractal method.

Aircraft Classification Method Based on Eemd and Multifractal Correlation

“…(2) The classification method is based on EEMD and multifractal (CMEEMDMF). Hu et al used EEMD to denoise radar echoes and then combined with MF to recognize civil aircraft and fighter aircraft [29].…”