基于顺序统计滤波和二元积累的辐射源信号检测方法

Radiation source signal detection method based on ordered statistical filtering and binary accumulation

现代雷达采用宽带线性调频、相位编码等低截获概率(low probability of interception,LPI)波形,发射功率较低,到达侦察接收机的辐射源信号信噪比较低,给被动侦察带来了巨大的挑战。现有的被动检测方法在检测该类信号时,存在一定的局限性,比如算法复杂度高、计算量大和实时性较差等。针对上述问题,提出了一种辐射源信号检测方法。在数字信道化预处理的基础上,设计了适合在工程实现的并行流水线结构,基于顺序统计滤波和二元积累完成检测,提高了检测速度,能够实现对低信噪比信号的恒虚警(constant false alarm rate,CFAR)检测。仿真试验证明了所提方法的有效性和正确性,为辐射源信号检测提供了有力的理论支撑。

Modern radars use broadband chirp,phase encoding and other low probability of interception(LPI)waveforms.Modern radars have low transmitting power,leading to low signal-to-noise ratio of the radiation source signal reaching the reconnaissance receiver,which brings a huge challenge to passive reconnaissance.Existing passive detection methods have certain limitations when detecting this type of signal,such as high algorithm complexity,large amount of calculation,and poor real-time performance.Aiming at the above problems,this paper proposes a method for detecting radiation source signals.On the basis of digital channelization preprocessing,a parallel pipeline structure suitable for engineering realization is designed.The detection is completed based on ordered statistical filtering and binary accumulation,which improves the detection speed and can realize the constant false alarm detection(CFAR)of low signal-to-noise ratio signals.The simulation test proves the validity and correctness of the proposed method,and provides a strong theoretical support for the detection of the radiation source signal.