Two-dimensional Hierarchical Mainlobe and Sidelobe Jamming Suppression Algorithm for Monopulse Angle Estimation
In order to improve the monopulse angle measurement performance for the rectangular array when the mainlobe and sidelobe jammings exist,a Two-Dimensional Hierarchical Joint Adaptive Digital BeamForming(TDHJ-ADBF)method is proposed in this paper.The beamforming of TDHJ-ADBF method is divided into two stages.In the first stage,the mainlobe jamming corresponding to the angular measurement dimension is quickly estimated by the compressed multiple signal classification algorithm and pre-eliminated by a blocking matrix.Then the adaptive weights and beamforming are calculated using the joint constraint of beam direction and the linearity of monopulse response curve.The residue mainlobe jamming is further suppressed in orthogonal dimension at the second stage.Thereby both the mainlobe and sidelobe jammings are jointly suppressed,the linearity of the monopulse response curve is maintained.Simulation results demonstrate that the TDHJ-ADBF method exhibits an excellent jamming suppression capacity and a high precision of angle measurement.
Adaptive monopulseTwo-dimensional hierarchical beamformingCompressed MUltiple SIgnal Classification(C-MUSIC)MainLobe Jamming(MLJ)estimationJoint jamming suppression
万方数据
维普
