A new wideband beamforming by fuzzy system for coherent signals

Abstract A big challenge is robust direction-finding of targets in multipath environments where large noise power and coherent signals exist. In this paper, a novel adaptive wideband beamforming algorithm is presented by using Fuzzy system approach in order to improve the robustness of method against interference and coherent signals in noisy environment such as underwater acoustic channel. First of all, a new diagonal loading sample matrix inversion (DL-SMI) approach is considered. Then, a Fuzzy method is introduced in order to improve the coefficients of the DL-SMI beamformer. Moreover, to obtain a stable performance in a wider band, a sub-band structure is designed by using Fuzzy system. Finally, some simulations are provided in different conditions to demonstrate the efficiency of the method. In comparison with the conventional wideband beamformers, not only algorithm's interference-plus-noise suppression ability is increased but also it results in faster output in traditional wideband beamformers.

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