Main-Lobe Jamming Suppression Method for Phased Array Netted Radar Based on MSNR-BSS

Abstract

Compared with the multisite radar, the monostatic radar has the disadvantages of a single viewing angle and less available information. In the presence of main-lobe jamming, the monostatic radar has the problems of poor antijamming effect and difficulty in achieving target detection. To solve the above problems, the radar signal processing method and data fusion method are combined in this article. A main-lobe jamming suppression method for phased array (PA) netted radar based on the maximum signal-to-noise ratio blind source separation (MSNR-BSS) is proposed. First, the received signals of a monostatic PA radar are separated into target signals and jamming signals by the MSNR-BSS method. Second, channel accumulation, pulse compression, and constant false-alarm rate (CFAR) target detection are performed on the separated signal channels to obtain the target radial distance. Finally, the data fusion theory of three global orientations (TGOs) is employed to determine the target spatial position. Simulation experiments evaluate the performance of main-lobe jamming suppression and verify the effectiveness of the proposed method. In the presence of noise amplitude modulation (NAM) jamming or smeared spectrum (SMSP) jamming (JNR = 100 dB), the target positioning accuracy (TPA) of the proposed method is 6.613 or 6.596 m, respectively. Also, the peak-to-sidelobe level ratios (PSLRs) in the two jamming environments are approximately equal to −8 dB.