Provided is a parameter estimation method based on a Rayleigh-Ritz entropy dimensionality reduction MUSIC algorithm. The parameter estimation method comprises the steps that K far-field narrow-band transverse electromagnetic wave incident signals which are unrelated are received by a receiving array, a received data covariance matrix is calculated through M-time snapshot data of the receiving array, eigen-decomposition is conducted on the received data covariance matrix to obtain signal subspace and noise subspace, a multiple signal classification (MUSIC) spatial domain and polarization domain joint zero-spectrum function is constructed according to the subspace theory, a search guide vector is represented as the product of a spatial domain function matrix and a polarization domain function vector, MUSIC dimensionality reduction processing with separated spatial domain spectra and separated polarization domain spectra is realized according to the self-conjugate torque Rayleigh-Ritz entropy theorem, and parameter estimation is carried out. According to the parameter estimation method based on the Rayleigh-Ritz entropy dimensionality reduction MUSIC algorithm, four-dimensional MUSIC search is converted into two types of two-dimensional search including spatial domain two-dimensional search and polarization domain two-dimensional search, so that the calculated amount is reduced.
Parameter estimation method based on Rayleigh-Ritz entropy dimensionality reduction MUSIC algorithm