A target detection algorithm based on signal — Data joint processing under blanket jamming

Abstract

Aiming at the problem that the target detection probability of pulse radar is low under the blanket jamming environment, a target detection algorithm based on signal — data joint processing is proposed. Firstly, the radar echo signal is pre-processed by blind source separation in the signal layer to improve the signal-to-interference ratio and solve the cross-interference problem between the target echoes. Then, according to the different properties of Linear frequency modulation (LFM) signal in different conversion orders in the Fractional Fourier transform (FRFT) domain, the LFM signal is narrowband filtered and the doppler frequency is estimated to filter out the energy of most interference and noise, and provide the aiming information of the target radial velocity for the data layer processing respectively. Finally, in the data layer, M / N logic method is used to deal with all the points, and combined with the radial velocity decision algorithm to achieve the target track detection. The simulation results show that the algorithm can effectively detect the target under the strong suppression interference environment.