旋翼无人机雷达回波特征分析与参数估计方法
2025,47(2):202-211
摘要：
“低、慢、小”无人机的泛滥给空域的飞行安全造成了严重威胁，准确分析无人机回波信号的特点对于非合作无人机的检测具有重要意义。根据旋翼无人机目标时域积分回波模型以及倒谱算法的原理，推导了回波信号的频域表达式和倒谱表达式，分析了回波信号参数与频域和倒谱特征的对应关系，提出了一种针对无人机回波信号的参数估计方法并通过仿真与实测数据验证了此方法的有效性。结果表明，该方法可以更加准确地估计无人机回波信号的带宽和旋转频率，进而为无人机目标的探测与识别提供重要参考。
“低、慢、小”无人机的泛滥给空域的飞行安全造成了严重威胁，准确分析无人机回波信号的特点对于非合作无人机的检测具有重要意义。根据旋翼无人机目标时域积分回波模型以及倒谱算法的原理，推导了回波信号的频域表达式和倒谱表达式，分析了回波信号参数与频域和倒谱特征的对应关系，提出了一种针对无人机回波信号的参数估计方法并通过仿真与实测数据验证了此方法的有效性。结果表明，该方法可以更加准确地估计无人机回波信号的带宽和旋转频率，进而为无人机目标的探测与识别提供重要参考。
基金项目：
航空科学基金资助项目（201901012005）
航空科学基金资助项目（201901012005）
Radar echo characteristic analysis and parameter estimation method for rotor UAV
LIU Lutao
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001 , China
XIE Liangzheng
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001 , China
MO Yuhan
Beijing Institute of Remote Sensing Equipment, Beijing 100854 , China
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001 , China
XIE Liangzheng
College of Information and Communication Engineering, Harbin Engineering University, Harbin 150001 , China
MO Yuhan
Beijing Institute of Remote Sensing Equipment, Beijing 100854 , China
Abstract：
The proliferation of “low, slow and small” UAVs (unmanned aerial vehicles) poses a serious threat to flight safety in airspace. Accurate analysis of the characteristics of UAV echo signals is of great significance for the detection of non-cooperative UAVs. Based on the time-domain integral echo model of rotor UAV target and the principle of cepstrum algorithm, the frequency-domain expression and cepstrum expression of echo signal were derived, the corresponding relationship between echo signal parameters and frequency-domain and cepstrum characteristics was analyzed, and a parameter estimation method for UAV echo signal was proposed, and the effectiveness of this method was verified by simulation and measured data. The results show that, it can estimate the bandwidth and rotation frequency of UAV echo signal more accurately and provide an important reference for target detection and recognition of UAV.
The proliferation of “low, slow and small” UAVs (unmanned aerial vehicles) poses a serious threat to flight safety in airspace. Accurate analysis of the characteristics of UAV echo signals is of great significance for the detection of non-cooperative UAVs. Based on the time-domain integral echo model of rotor UAV target and the principle of cepstrum algorithm, the frequency-domain expression and cepstrum expression of echo signal were derived, the corresponding relationship between echo signal parameters and frequency-domain and cepstrum characteristics was analyzed, and a parameter estimation method for UAV echo signal was proposed, and the effectiveness of this method was verified by simulation and measured data. The results show that, it can estimate the bandwidth and rotation frequency of UAV echo signal more accurately and provide an important reference for target detection and recognition of UAV.
收稿日期：
2022-11-16
2022-11-16
