A rotor parameter estimation method based on joint range-time-frequency characteristics

By combining the rotor parameter estimation method with distance-time frequency characteristics, the problem of accurate estimation of rotor blade length, rotation period and number of blades is solved, and the accurate identification of rotor parameters is achieved, laying a good foundation for target identification.

CN114994630BActive Publication Date: 2025-03-28UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Patent Information

Application Number
CN202210698113.8
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2022-06-20
Publication Date
2025-03-28
Estimated Expiration
2042-06-20

AI Technical Summary

Technical Problem

The prior art is difficult to accurately estimate the blade length, rotation period and blade count of the rotor, especially in terms of blade range limitation and parity discrimination.

Method used

The rotor parameter estimation method based on the joint distance-time frequency characteristics is adopted, and the rotor parameter estimation method is combined with the high-resolution one-dimensional distance image and microDoppler characteristics to achieve accurate estimation of rotor parameters through the rotor baseband echo signal modeling, the construction of high-resolution one-dimensional distance image matrix, rotor parameter modeling, rotor signal separation, blade length estimation, rotation period estimation and blade number estimation.

Benefits of technology

This method can accurately estimate the blade length, rotation period and blade number of rotors, solve the problems of blade range limitation and parity discrimination in the existing methods, and provides a good foundation for target recognition.

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Abstract

The present invention discloses a rotor parameter estimation method based on joint distance-time-frequency features, which is applied to the field of target detection. It aims to solve the problem that the existing rotor parameter estimation method with a single time-frequency feature cannot extract more rotor features. The present invention uses empirical mode decomposition and constant false alarm detection algorithm to achieve rotor echo signal separation. It proposes a fast time domain projection method to extract distance-time domain and frequency-time domain signal features, and combines the dual-domain features with the rotor parameter model to achieve rotor parameter estimation. Compared with the existing parameter estimation method based on a single time-frequency feature, the method proposed by the present invention solves the problems of blade range limitation and odd-even discrimination, laying a good foundation for further target recognition.
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