Decoherence two-dimensional MUSIC parameter estimation method of electromagnetic vector sensor array

Abstract

Provided is a decoherence two-dimensional MUSIC parameter estimation method of an electromagnetic vector sensor array. The method includes: an L-shape array receives K far-field narrowband coherent signals and obtains synchronization data for N times by employing a reception array; respectively extracting data of 6 sub-arrays of electric dipoles in the directions of the x-axis, the y-axis, and the z-axis and magnetic dipoles in the directions of the x-axis, the y-axis, and the z-axis, and obtaining a cross-covariance data matrix before transformation, after transformation, and before and after transformation through arithmetic mean of a covariance matrix of the sub-array data by employing the spatial rotation invariant characteristic of the sub-arrays; obtaining a data covariance matrix after decoherence through covariance matrixes before transformation, after transformation, and before and after transformation to recover the rank of the data covariance matrixes; and performing singular value decomposition on the data covariance matrixes after decoherence to obtain a signal subspace and a noise subspace, constructing a MUSIC spatial spectrum by employing the noise subspace, and accomplishing estimation of two-dimensional direction of arrival through spectrum peak search. The method can be applied to uniform arrays and non-uniform arrays, the loss of array aperture is avoided, the spectrum peak is sharp, and the spatial resolution is high.

Description

technical field [0001] The invention belongs to the technical field of signal processing, in particular to a method for estimating a two-dimensional arrival angle of a coherent source of an electromagnetic vector sensor array. Background technique [0002] Due to the complexity of the actual propagation environment, it is common that there are coherent signal sources in the signals incident on the array, including co-channel interference and multipath propagation signals. In the radar array signal processing, the interference of coherent signal sources will cause false alarm or targeting error. For coherent signal sources, the traditional MUSIC and ESPRIT high-resolution signal subspace-like angle-of-arrival (DOA) estimation methods are invalid, and it is necessary to explore methods that can solve the coherence. Therefore, exploring effective coherent signal processing methods is an important part of array signal processing. It is an important research content and one of t...

AI Technical Summary

Problems solved by technology

[0003] The decoherence method represented by spatial smoothing reduces the array aperture, increases the beamwidth of the array, and reduces the resolution capability of the array, and the spatial smoothing is generally only suitable for uniform linear arrays, which severely limits the application range of the method

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