一种基于随机共振的GNSS干扰检测算法

GNSS interference detection algorithm based on stochastic resonance

针对低干噪比下全球导航卫星系统干扰检测问题,文中利用非线性随机共振系统对微弱信号的增强作用,提出一种基于随机共振的GNSS干扰检测算法,并详细阐述了算法的实现过程,以传统能量检测算法为对比算法,分析两种算法在相同条件下检测性能的差异。仿真表明:在高斯白噪声信道、低干噪比条件下,所提算法的检测性能明显优于传统能量检测算法。相同信道环境及检测概率下,所提算法需要的数据长度更短,检测耗费时长更少,且能保证更低的虚警概率。

Aiming at the problem of global navigation satellite system(GNSS)interference detection under low interference and noise ratio,a GNSS interference detection algorithm based on stochastic resonance is proposed by applying a nonlinear stochastic resonance system to enhance the weak signal.It describes the implementation process of the algorithm in details,compares the proposed algorithm with traditional energy detection algorithm,and analyzes the difference of detection performance between the two algorithms under the same conditions.The simulation results show that the detection performance of proposed algorithm is significantly better than the traditional energy detection algorithm under the condition of Gaussian white noise channel and low interference and noise ratio.Under the same channel environment and detection probability,the proposed algorithm requires shorter data length,less timeconsuming detection,and lower false alarm probability.