摘要
常规多普勒信号识别主要以多普勒信号幅值作为判定依据。该方法在扇面波束探测器的目标识别过程中,由于多普勒时域波形变窄,存在识别率低的问题。基于测试的多普勒信号数据,进行了时频变换分析。在不改变现有波束形状的条件下,提出了一种采用频率和幅度联合判定的信号识别方法。实验结果表明,当6次目标进入探测范围时,探测器都能准确识别目标,为无人机目标识别提供了借鉴价值。
Conventional Doppler signal recognition is mainly based on the amplitude of the Doppler signal.In the process of target recognition of sector beam detectors,this method has the problem of low recognition rate due to the narrowing of the Doppler time domain waveform.Based on the measured Doppler signal data,the time-frequency conversion analysis is carried out,and a signal recognition method based on combined judgment of frequency and amplitude is proposed without changing the existing beam shape.The experimental results show that the target can be identified accurately by the detector all the six times of the target entering the detection range,which provides reference value for UAV target recognition.
作者
周健
孙芸
孙晓玮
ZHOU Jian;SUN Yun;Sun Xiao-wei(Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai 200050, China)
出处
《红外》
CAS
2019年第12期22-27,43,共7页
Infrared
基金
中国科学院联合基金项目(6141A01100101)。
关键词
多普勒
毫米波
识别
Doppler
millimeter wave
recognition
