Robust high-resolution beam-forming based on high order cross sensor processing method

Abstract

In order to obtain the robust high-resolution beamforming, a high order cross sensor processing (CSP) approach is developed. According to the relation ship between the target bearing and the phase difference of each element receiving signal, this method exploits the property that the same diagonal of covariance matrix with the same phase difference and obtains (2 M −1)(N −1) virtual elements (N is the original array number) by executing M order CSP. The extended virtual elements can effectively increase the physical aperture of linear array, reduce the main lobe width of beam-forming, and improve the bearing resolution. The CSP method accumulates the data on the same sub-diagonal of the covariance matrix, which can decrease the impact of background noise on beam-forming. The theoretical analysis and experimental results both show that this method has high resolution in bearing estimation, compared with the MUSIC method, which has better robustness under the lower signal-to-noise ratio (SNR).

Multitarget Parameter Estimation of Monopulse Radar Based on RJ‐MCMC Algorithm

“…It can be seen that two or more than two targets are likely to exist in the same distance-angle resolution unit of the radar when the target is launched with a double "Echelon" or a team 's "wedge" formation. With the influence of side lobe jamming and false target jamming [2][3][4][5], radar's display on the two-dimensional display of distance angle is shown in Figure 2. The red pentagram represents the target that radar is detecting or tracking, and the dot represents other targets or false targets.…”