The application relates to a real-valued super-resolution direction
estimation method of a high-order acoustic field
sensor array, which uses a received
signal covariance matrix to approximately calculate an estimated value of
noise power, avoids the iterative operation process of
noise power in the prior art, improves the calculation efficiency, and reduces the floating-point operation amount. By constructing an
augmented matrix, the array receiving
data matrix and the array manifold matrix with a multi-dimensional structure of an element are made into Hermitian matrices, so that the
unitary transformation processing of the related parameters of the high-order acoustic field
sensor array is realized. On the basis of obtaining the array receiving
data matrix and the array manifold matrix in the real number domain, the array receiving
data matrix and the array manifold matrix are applied to a sparse approximate minimum
variance method with a variable exponential factor, and the completely real-valued sparse approximate minimum variance direction
estimation with a variable exponential factor is realized.