Beamforming Under Correlated Noise Background Based on Generalized Sidelobe Cancellation Algorithm

Aiming at the problem that the correlation of noise affects the beamforming performance when the array element spacing is less than half wavelength, the beamforming based on generalized sidelobe cancellation algorithm is studied. Taking the uniform linear array as an example, a method of correlated noise generated by two uncorrelated noises and satisfying a certain correlation coefficient is derived. Then the noise of other array elements satisfying the correlation coefficient is recursively generated. The Conventional BeamForming (CBF) algorithm and Generalized Sidelobe Cancellation (GSC) algorithm under noise uncorrelated and noise correlated conditions in uniform linear array model is numerically simulated. The performance of beamforming under correlated noise and uncorrelated noise is compared from the aspects of main lobe width, side lobe height and array gain. The results show that the array processing gain decreases with the increase of the correlation coefficient of the correlated noise. Finally, the performance of the two algorithms is compared. The simulation results show that the GSC algorithm has better beamforming performance than the CBF algorithm under noise-related conditions.