Underwater near-field noise source localization based on improved iterative adaptive algorithm
When underwater targets move at high speeds,traditional noise source localization methods are affected by the low number of array antenna sampling snapshots,resulting in poor accuracy.For the high accuracy of underwater sources localization under few snapshots,an underwater near-field noise source localization algorithm was proposed based on iterative adaptive method.Firstly,the value function of the model was established based on the weighted least squares method,according to the established near-field noise source receiving model.And then,the least squares estimation value of the received signal was obtained by derivative of the value function.Finally,the key position area where the noise source may exist was divided into two-dimensional grids,and then the iterative adaptive al-gorithm was adopted to estimate the signal energy at each grid,whereby the energy spectrum was drawn,and the peak position was the noise source position.Simulation experiments show that com-pared with the high-resolution MUSIC algorithm and MVDR algorithm,the proposed algorithm can achieve high-precision of near-field noise source localization,especially in low RSN and few snapshots,simultaneously suitable for coherent noise source localization.
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