Abstract: Based on the characteristics of Anti-Radiation-Missile (ARM) echo wave, 3 parameters Chirplet Transform (CT) was proposed from the perspective of parameterized Time-Frequency (TF) analysis, which combining 3 kinds of affine TF transform to be a kind of TF atom. What's more, based on the time-shift feature of ARM and aircraft echo wave's 3 parameters CT, a new method of ARM detection which can be implemented fast by Fast Fourier Transform (FFT) algorithm was proposed, considering the difference of the 3 parameters CT's modulus between the received signal and its delay signal as the detectable quantity. Aircraft echo interference could be counteracted effectively, while ARM echo energy could be saved without much attenuation. Therefore, the detection system was simplified. Computer simulation results show that ARM can be detected fast and precisely by this way in the surrounding of high aircraft echo interference and low Signal to Noise Ratio (SNR), so that a reliable early warning of ARM launching can be achieved.

Key words: Time-Frequency Analysis, Anti-Radio Missile (ARM), Chirplet Transform, Signal Detection, Time-Frequency Atom

摘要： 从参数化时频分析的角度出发,根据反辐射导弹(ARM)回波的信号特征,合理选择3种仿射时频变换并组合得到相应的时频原子,从而提出了三参数Chirplet变换的概念,同时根据ARM和载机回波的三参数Chirplet变换的时移特性,提出了一种用观测信号与其延时信号的三参数Chirplet变换的模之差来检测ARM的新方法。该方法可在不衰减ARM回波能量的前提下有效地对消载机回波干扰和消除部分背景噪声,且整个过程可用快速傅里叶变换(FFT)算法实现,从而简化了整个检测系统。仿真结果表明,该方法可在大载机回波干扰和低信噪比环境下快速准确地检测出ARM,实现实时告警。

关键词: 时频分析, 反辐射导弹, Chirplet变换, 信号检测, 时频原子