基于自相关-倒谱联合分析的无人机旋翼转动频率估计方法

宋晨; 周良将; 吴一戎; 丁赤飚

doi:10.11999/JEIT180399

基于自相关-倒谱联合分析的无人机旋翼转动频率估计方法

doi: 10.11999/JEIT180399

1.
微波成像技术重点实验室北京 100190
2.
中国科学院电子学研究所北京 100190
3.
中国科学院大学北京 100049

详细信息

作者简介:
宋晨：男，1992年生，博士生，研究方向为雷达信号处理、目标检测与识别等

周良将：男，1981年生，副研究员，研究方向为合成孔径雷达系统设计、系统误差补偿及其相关信号处理技术

吴一戎：男，1963年生，研究员，中国科学院院士，研究方向为高分辨机载合成孔径雷达及运动补偿技术、SAR信号处理算法、遥感卫星地面处理与应用系统的体系结构、数据处理算法等

丁赤飚：男，1969年生，研究员，研究方向为先进合成孔径雷达系统和信号处理技术、数字信号处理、信息系统技术等

通讯作者:
周良将　ljzhou@mail.ie.ac.cn

中图分类号: TN957.51
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- 被引次数: 0
出版历程
- 收稿日期: 2018-04-27
- 修回日期: 2018-11-02
- 网络出版日期: 2018-11-12
- 刊出日期: 2019-02-01

An Estimation Method of Rotation Frequency of Unmanned Aerial Vehicle Based on Auto-correlation and Cepstrum

1.
National Key Laboratory of Microwave Imaging Technology, Beijing 100190, China
2.
Institute of electronics, Chinese Academy of Sciences, Beijing 100190, China
3.
University of Chinese Academy of Sciences, Beijing 100049, China

摘要

摘要:
准确估计无人机旋翼转动频率对于无人机的检测与识别具有重要意义。该文针对调频连续波雷达的无人机目标回波模型，提出一种自相关-倒谱联合分析的无人机旋翼转动频率估计方法，推导了无人机旋翼转动频率与雷达回波倒谱输出中周期性时延的映射关系，通过加权均衡能够更有效地估计多旋翼无人机旋翼转动频率，弥补了传统方法的不足。通过仿真和实际场景实验验证了方法的有效性。
- 无人机 /
- 微多普勒 /
- 特征提取 /
- 参数估计 /
- 自相关-倒谱
Abstract:
Accurately estimating rotor rotation frequency of Unmanned Aerial Vehicle (UAV) is of great significance for UAV detection and recognition. For the UAV target echo model of LFMCW (Linear Frequency Modulated Continuous Wave) radar, this paper proposes an auto-correlation and cepstrum to estimate the rotor rotation frequency of UAV, which derives the mapping relationship between the rotor rotation frequency of UAV and the periodic delay in the radar echo cepstrum output, and more effectively estimates the rotor frequency of multi-rotor UAV by weighted equilibrium, making up for the shortages of traditional methods. The effectiveness of the method is verified by simulation and real scene experiments.
- Unmanned Aerial Vehicle (UAV) /
- Micro-Doppler /
- Feature extraction /
- Parameter estimation /
- Auto-correlation cepstrum

HTML全文

图 1 雷达观测多旋翼无人机几何模型

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图 2 自相关-倒谱联合估计方法流程图

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图 3 传统方法仿真结果对比

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图 4 仿真结果对比

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图 5 不同方法旋翼转动频率估计误差对比

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图 6 不同旋翼转动频率估计方法处理结果对比

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图 7 旋翼变速转动处理结果

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表 1 雷达系统参数

参数数值

中心频率f₀ 34.6 GHz
带宽 1.2 GHz
PRF 31.25 kHz
无人机与雷达距离 200 m
原始回波SNR 0 dB
观测时间 1 s

下载: 导出CSV

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