A Modified Oblique Projection Beamforming Algorithm with Chebyshev Window Function for Coherent Sources

Traditional beamforming algorithms have relatively poor performance in conditions of small snapshot numbers, high signal-to-noise-ratio and coherent sources. To address this issue, an oblique projection-based beamforming algorithm is modified in this paper. In this algorithm, the oblique projector is utilized to eliminate the noise of the array input data and enhance the robustness of algorithm. Furthermore, the transformation-based linear constraint matrix may eliminate the interferences, and Chebyshev window function is utilized to suppress the side-lobe level. Simulation results demonstrate that the modified algorithm has good robustness and performance.