摘要
针对全球导航卫星系统(GNSS)中干扰检测的需求,结合能量检测原理,从信号模型出发,推导出频域检测的检测概率和虚警概率,设计一种门限循环更新的GNSS干扰检测算法。将检测谱线进行快速排序,设定初始门限,将小于门限的谱线更新到新的门限,继续检测大于新门限的谱线,直到门限收敛,并输出检测结果。在高斯白噪声下,6种干扰样式的仿真结果表明,该算法门限收敛速度快,能够输出干扰信号的频率、带宽和功率信息,判断出单音干扰、脉冲干扰、窄带干扰和宽带干扰,与传统方法相比,该算法的检测性能更好。
According to the demand of interference detection in Global Navigation Satellite System（GNSS） , and the energy detection principle, starting from the signal model, GNSS interference detection algorithm of iteratively updating threshold is designed, and the detection probability and false alarm probability in frequency domain are derived. The detected spectrum is sorted by Quicksort, and the initial threshold is set. The spectral line less than the threshold is updated to the new threshold, continuing to detect the updated spectral lines more than the new threshold until the threshold is converged. And the detected result is output with Gausstan white noise, the simulation results of 6 kinds of jamming show that the designed algorithm converges quickly. The algorithm can output the frequency, bandwidth and power of the interference signal, and can distinguish continuous wave interference, pulse interference, narrowband interference and wideband interference. Compared with traditional methods, the designed algorithm has better detection performance.
出处
《计算机工程》
CAS
CSCD
北大核心
2016年第4期105-111,共7页
Computer Engineering
关键词
全球导航卫星系统
干扰检测
门限检测
门限更新
检测概率
Global Navigation Satellite System（ detection probability GNSS ）
interference detection
threshold detection
threshold update
