Radar target detection method and device based on dual-polarization maximum eigenvalue

The radar target detection method based on the maximum eigenvalue of dual-polarization uses dual-polarization echo data to calculate the maximum eigenvalue of the cross-covariance matrix, which solves the problems of high computational complexity and poor detection effect in the existing technology and achieves more efficient radar target detection.

CN116930900BActive Publication Date: 2026-07-07NAVAL AVIATION UNIV
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Patent Information

Application Number
CN202310808969.0
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2023-07-03
Publication Date
2026-07-07
Estimated Expiration
2043-07-03

AI Technical Summary

Technical Problem

Existing CFAR target detection methods have high computational complexity and use only a single polarization mode, resulting in poor suppression of sea clutter effects and making it difficult to effectively improve the accuracy of radar target detection in practical applications.

Method used

A radar target detection method based on dual-polarization maximum eigenvalue is adopted. By receiving echo data from the first and second polarizations, the maximum eigenvalue of the cross-covariance matrix is ​​calculated. The target detection result is determined by combining the average maximum eigenvalue and a preset threshold factor, thereby reducing computational complexity and improving detection accuracy.

Benefits of technology

It effectively reduces the computational complexity of radar target detection, fully leverages the distinguishability between target echo signals and sea clutter, and improves the detection accuracy of radar targets.

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Abstract

This invention provides a radar target detection method and apparatus based on dual-polarization maximum eigenvalues. The method includes: receiving first polarization echo data and second polarization echo data, and determining a detection unit and at least two reference units based on the first polarization echo data and the second polarization echo data; for any unit, determining a cross-covariance matrix based on the first polarization echo data and the second polarization echo data, and determining the maximum eigenvalue corresponding to the unit based on the cross-covariance matrix; determining an average maximum eigenvalue based on the maximum eigenvalues ​​corresponding to each reference unit; and determining a target detection result based on the maximum eigenvalue corresponding to the detection unit, the average maximum eigenvalue, and a preset threshold factor, wherein the target detection result includes whether the target exists or does not exist. This reduces the computational complexity of radar target detection, fully leverages the distinguishability of target echo signals and sea clutter, and improves the detection accuracy of radar target detection.
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Citation Information

Patent Citations

  • Subspace distance extension target detection method based on polarization radar

    CN115236598A