Decoherence ESPRIT parameter estimation method of L type electromagnetic vector sensor array

Abstract

The invention relates to a decoherence ESPRIT parameter estimation method of an L type electromagnetic vector sensor array. The array receives K coherent narrow-band stable far-field electromagnetic wave signals, and a reception array obtains synchronous sampling data for N times; six subarray data corresponding to an electric dipole subarray and a magnetic dipole subarray of coordinates x, y and z is extracted; a subarray data covariance matrix processes and recovers a rank of a data covariance matrix, and a data covariance matrix after decoherence is obtained; characteristic decomposition is carried out on the data covariance matrix after decoherence to obtain a signal subspace, and the signal subspace is divided into blocks according to structural characteristics of the array; the divided signal subspace is used to estimate a rotation invariant relation matrix in directions x and v; and cosines in directions of axes x and y are obtained, and paired cosines are used to estimate a 2D arrival angle. According to the invention, decoherence is carried out by utilizing a rotation invarirance of the electromagnetic vector sensor subarray, the disadvantage of aperture loss is avoided, a parameter pairing method is simple and effective, and a parameter estimating precision is high.

Description

technical field [0001] The invention belongs to the technical field of signal processing, and in particular relates to a method for estimating a two-dimensional angle of arrival of a coherent source of an electromagnetic vector sensor array. Background technique [0002] Coherent signal sources are ubiquitous in real life, and the problem of multipath interference in communication is one of them, because the signal array will receive coherent signals in different directions, and the coherent signals will lead to the rank loss of the source covariance matrix , so that the signal eigenvector diverges into the noise subspace. The important content of direction-of-arrival estimation of coherent signals is to start with solving the rank deficit of the matrix, that is, how to restore the rank of the signal covariance matrix to the number of signal sources. One of the methods is to perform preprocessing before spectral estimation, and restore the rank of covariance to the number o...

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Problems solved by technology

[0003] The subspace methods represented by ESPRIT and MUSIC are popular because of their high resolution, but the general ESPRIT method cannot be directly applied to the parameter estimation of coherent signals, and the two-dimensional ESPRIT method based on spatial smoothing corrects the received data. covariance matrix to achieve the purpose of decoherence, but the spatial smoothing method reduces the array aperture and reduces the resolution ability of the array, and the spatial smoothing is generally only suitable for uniform linear arrays, which seriously limits the scope of application of the method

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