论文部分内容阅读
在光纤振动信号检测系统中,使用相位敏感光时域反射技术,可检测长距离的光纤振动信号,但反射回的光信号都有大量的振动杂波和噪声,导致振动检测信号的虚警率较高。提出采用单元平均恒虚警(CA-CFAR)和有序统计恒虚警(OS-CFAR)二级检测算法,保持虚警率稳定,既提高了运算速度,也改善了参考单元中存在多个目标的检测性能,并提出利用蒙特卡罗方法确定二级检测的门限系数,最后通过蒙特卡罗仿真及现场实验验证,对算法进行了性能分析,验证了算法的可行性以及有效性。
In the optical fiber vibration signal detection system, phase-sensitive optical time-domain reflectometry is used to detect long-distance optical fiber vibration signals. However, the reflected optical signals have a lot of vibrational clutter and noise, resulting in a false alarm rate of the vibration detection signal Higher. In order to improve the computational speed and improve the efficiency of multiple reference cells, a new algorithm based on CA-CFAR and OS-CFAR is proposed. The detection performance of the target is proposed and the threshold coefficient of the second-level detection by Monte Carlo method is proposed. Finally, the performance of the algorithm is verified by Monte Carlo simulation and field experiments to verify the feasibility and effectiveness of the algorithm.