Power constraint conventional beamforming post-processing fitting method

Aiming at the problem of super-resolution estimation of underwater target azimuth,a Power Constraint Conventional BeamForming Fitting algorithm (PC-CBF) is proposed.The PC-CBF algorithm obtains the target azimuth spectrum data by conventional beamforming,and uses the array response vector to post-process the azimuth spectrum to accurately estimate the target number and target orientation.The algorithm limits the power of the received signal,obtains the under-fitting result of the azimuth spectrum,and uses the convex optimization to perform the inverse convolution to obtain the orientation information of the target.The simulation results show that the performance of the algorithm is better than the semi-definite programming Conventional Beamforming (sdp-CBF) and MUltiple SIgnal Classification (MUSIC).The experimental data processing results of the pool show that the PC-CBF algorithm can obtain a narrow spectrum peak width and a low background level,and has a strong azimuth estimation ability.