Mainlobe Interference Suppression Method for Underwater Acoustic Array Signal Based on Eigen Projection Matrix and Linear Constraint
Beamforming is a key technology for underwater acoustic array signal processing.Adaptive beamforming can effectively suppress sidelobe interference and improve the signal-to-noise ratio of received signals.However,interference from the main lobe region of under-water acoustic array will lead to the formation of zero trap in the main lobe of conventional a-daptive beamforming,which will distort the primary beam and raise the sidelobe level,af-fecting the communication performance.In particular,when the expected signals are mixed into the sampled data and the interference intensity of the main lobe is large,problems such as peak offset and sidelobe zero-notch disappearance will occur.In this paper,an anti-main lobe interference method based on eigenprojection matrix and linear constraint is proposed for underwater acoustic array signal.Firstly,the covariance matrix of the interference noise is improved and reconstructed to eliminate the influence of the expected signal on the selec-tion of the main lobe interference feature vector.Secondly,linear constraints were added to ensure the desired signal directional gain,constrain the sidelobe interference subspace zero-ing,minimize the modulus of adaptive weight vector,and eliminate noise jitter.Finally,the adaptive weight vector is obtained for beamforming.The simulation results show that the proposed algorithm not only has deeper zero hole in the sidelobe,but also can keep the main beam conformal and improve the signal to noise ratio of the system.
main lobe interferenceeigenprojection matrixadaptive beamforminglinear constraints
万方数据
维普
