MVDR beam forming method based on dynamic optimization strategy

The invention discloses an MVDR beam forming method based on a dynamic optimization strategy, and belongs to the technical field of MVDR beam forming. The technical problem to be solved is to providean improvement of an MVDR beam forming method based on a dynamic optimization strategy. The method comprises the steps of obtaining n groups of incident signals in different directions through a uniform antenna array, performing normalization processing on obtained sample data, taking the normalized sample data as an input vector of a network model, unifying all real numbers with a quantificationstandard in a range of [0, 1], and establishing a model of a weight target function and a DL factor through a BP neural network; selecting a weight value and a threshold value based on an ant algorithm and a BP neural network; carrying out iterative optimization on a threshold value in the BP neural network to minimize errors and obtain optimized diagonal loading parameters; in the input layer andthe output layer, receivin