An improved beamforming method with low computational load

Abstract

Excellent bearing estimation performance beamforming algorithms often require feature decomposition of the spatial covariance matrix, so the amount of calculation is relatively large. In order to reduce the computational complexity, an improved beamforming method with low computational complexity is proposed. This method is based on the traditional HBF(Hyper Beamfoming), only by modifying the "sum-beam" directivity function, without adding additional calculations, using nth order calculation to obtain excellent bearing estimation. Simulation results show that this method has a narrower main lobe, lower side lobe, and stronger endfire suppression, which effectively reduces the reception interference and improves the signal detection performance. In addition, the improved super-resolution beamforming method has wider applicability to the index n.