Method and apparatus for signal direction estimation based on higher order cumulants and auxiliary array elements

By using a signal orientation estimation method based on higher-order cumulants and auxiliary array elements, the problem of signal orientation estimation under the influence of array errors is solved, achieving high-precision signal orientation estimation. This method is applicable to various array structures and avoids local convergence problems.

CN117310600BActive Publication Date: 2026-06-09SOUTHWEST CHINA RES INST OF ELECTRONICS EQUIP
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SOUTHWEST CHINA RES INST OF ELECTRONICS EQUIP
Filing Date
2023-09-20
Publication Date
2026-06-09

AI Technical Summary

Technical Problem

In the prior art, array errors such as array element pattern error, array channel amplitude and phase error, and array element position error affect the accuracy of signal azimuth estimation. In particular, there is a lack of effective correction methods in the case of azimuth-dependent array errors.

Method used

A signal azimuth estimation method based on higher-order cumulants and auxiliary array elements is adopted. Through Fourier transform, fourth-order cumulant calculation, eigenvalue decomposition and matrix transformation, array error is corrected, the direction vector of the signal is obtained and the source azimuth angle is estimated.

Benefits of technology

High-resolution signal azimuth estimation is achieved even with array amplitude and phase errors. It is applicable to arbitrary array geometry, has low computational complexity, no local convergence issues, and improves the accuracy of signal azimuth estimation.

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Abstract

This invention provides a signal azimuth estimation method and device based on high-order cumulants and auxiliary array elements, comprising: S1: receiving N far-field signals from M spatial sensor arrays, and obtaining the array manifold formed by the sensor arrays for the N signals; S2: performing Fourier transform on the received array signals to obtain a signal model; S3: expanding the array based on the signal model to obtain the fourth-order cumulants of the received signals in the model; S4: obtaining the direction vector of the expanded signal, and generating a construction matrix of the fourth-order cumulants based on the Kronecker product, and transforming the matrix; S5: performing eigenvalue decomposition on the fourth-order cumulants to obtain a noise subspace, and adjusting the row order of the noise subspace according to the element order of the array vectors to obtain an adjusted noise subspace, and estimating the source azimuth angle according to the subspace orthogonality principle. This solves the problem of correcting azimuth-dependent array errors.
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