Angle measurement method and device based on maximum likelihood estimation and electronic equipment

By constructing a uniform linear array echo signal model based on maximum likelihood estimation and estimating GLRT statistics, the problem of insufficient accuracy of traditional angle measurement methods under multipath effects and low signal-to-noise ratios is solved, and high-precision and reliable angle estimation is achieved.

CN121899773APending Publication Date: 2026-04-21XIDIAN UNIV
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Patent Information

Application Number
CN202610035214.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-01-12
Publication Date
2026-04-21

AI Technical Summary

Technical Problem

Existing angle measurement methods suffer from decreased accuracy due to multipath effects and noise, especially under low signal-to-noise ratio conditions where stable and reliable angle estimation is difficult to achieve. They are also sensitive to array errors and interference, and have limited resolution.

Method used

The method based on maximum likelihood estimation is adopted. By constructing a uniform linear array echo signal model, two hypotheses of the generalized likelihood ratio test are established, the GLRT statistic is constructed and maximum likelihood estimation is performed to maximize the angle value to determine the signal arrival angle.

Benefits of technology

This method achieves stable angle estimation in complex scenarios and under low signal-to-noise ratio conditions, improving the accuracy and reliability of angle measurement. It supports joint estimation of multiple parameters, adapts to one-dimensional and two-dimensional angle measurement needs, and overcomes the limitations of traditional methods.

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Abstract

The invention discloses an angle measurement method based on maximum likelihood estimation, and the method comprises the steps: constructing a correlation expression of an array echo signal model under the condition of employing a uniform linear array for receiving; establishing two hypotheses of GLRT (generalized likelihood ratio test), including an original hypothesis representing only noise and a standby hypothesis representing signal plus noise; respectively constructing probability density functions; constructing an expression of GLRT statistics in a mode of maximizing an angle value after maximum likelihood estimation is carried out on a probability density function under two assumptions on an unknown parameter; unknown parameters are estimated; the estimated value is substituted into the constructed expression of the GLRT statistical magnitude, and the final expression of the GLRT statistical magnitude is obtained; and obtaining a plurality of preset discrete angle values, and determining the discrete angle value which enables the final representation of the GLRT statistical magnitude to obtain a peak value as an estimated angle, thereby solving the problems of poor adaptability and insufficient precision of a traditional method in a low signal-to-noise ratio and complex electromagnetic environment.
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