White noise reduction for wideband beamforming based on uniform rectangular arrays

Two methods are proposed for reducing the effect of white noise in wideband uniform rectangular arrays via a combination of judiciously designed transformations followed by a series of highpass filters. The reduced noise level leads to a higher signal to noise ratio for the system, which in turn results in a clear improvement on the performance of various beamforming applications. As a representative example, the reference signal based (RSB) and the linearly constrained minimum variance (LCMV) beamformers are employed here to demonstrate the improved performance, which is also confirmed by simulations

Performance Improvement for Wideband DOA estimation with White Noise Reduction Based on Uniform Linear Arrays

A method is proposed for reducing the effect of white noise in wide- band uniform linear arrays via a combination of a judiciously de- signed transformation followed by highpass filters. The reduced noise level leads to a higher signal to noise ratio for the system, which can have a significant effect on the performance of various direction of arrival (DOA) estimation methods. As a representative example, the compressive sensing-based wideband DOA estimation method is employed here to demonstrate the improved estimation performance, this is confirmed by simulation results