基于圆循环恒虚警的多雷达信号被动检测方法

Passive Detection Method of Multiple Radar Signals Based on Circular Cycle Constant False Alarm Rate

低截获概率(LPI)雷达由于具有发射功率较低的特点,使得雷达侦察接收机接收到的雷达信号信噪比较低,现有的被动检测方法无法有效检测微弱信号。针对此问题,在高斯白噪声背景下,提出了一种基于圆循环恒虚警率(CFAR)的多雷达信号被动检测方法,并分别对基于圆循环的单元平均恒虚警率(CA-CFAR)、最大选择恒虚警率(GO-CFAR)、最小选择恒虚警率(SO-CFAR)、有序统计恒虚警率(OS-CFAR)4种检测器的虚警概率与检测概率进行了推导。仿真结果表明,在高斯白噪声背景下,存在一个信号时,基于圆循环的CA-CFAR检测性能最优;存在多个信号时,基于圆循环的CA-CFAR检测性能较差,OS-CFAR检测性能更佳。此外,采用多帧检测可以进一步提高检测性能。所提方法复杂度较低且实时性较高,可满足工程实际需求。

Low probability of intercept(LPI)radars have the characteristics of low transmitting power,which results in low signal-to-noise ratio of the radar signal received by the radar reconnaissance receiver.Existing passive detection methods cannot effectively detect weak signals.To solve this problem,a passive detection method of multiple radar signals based on circular cycle constant false alarm rate is proposed under the background of Gauss white noise.The false alarm probabilities and detection probabilities of four detectors based on circular cycle cell averaging(CA)-constant false alarm rate(CFAR),greatest of(GO)-CFAR,smallest of(SO)-CFAR and ordered statistics(OS)-CFAR are derived.The simulation results show that in the presence of a single signal under Gaussian white noise background,the detection performance of CA-CFAR based on circular cycle is the best.When there are multiple signals,the detection performance of CA-CFAR based on circular cycle is poor,while the detection performance of OS-CFAR is better.In addition,the detection performance can be further improved by using multi-frame detection.The method proposed in this paper has low complexity and high real-time performance,which can meet the demands of practical engineering.