基于加权检测算法的低频时码干扰检测研究  

Research on low frequency time code interference detection based on weighted detection

作　　者：罗欣羽 冯平[1,2,3] LUO Xin-yu;FENG Ping(National Time Service Center,Chinese Academy of Sciences,Xi’an 710600,China;University ofChinese Academy of Sciences,Beijing 100049,China;Fengkai Low Frequency Time Code Time Service Station,Zhaoqing 526500,China)

机构地区：[1]中国科学院国家授时中心,西安710600 [2]中国科学院大学,北京100049 [3]封开低频时码授时台,肇庆526500

出　　处：《时间频率学报》2023年第4期298-307,共10页Journal of Time and Frequency

基　　金：广东省科技计划资助项目(2019B090904006);中国科学院青年创新促进会资助项目(2021410)。

摘　　要：针对低频时码信号的干扰检测问题,提出了一种新的加权检测算法。该算法通过两个加权因子,对信号平均功率和载波功率进行加权计算得到参考门限,实现对干扰的检测判决。相比于干扰检测中常用的能量检测算法,改进后的加权检测算法受干扰影响较小,对干扰特别是大功率干扰的检测有效率更高,在信噪比SNR>0时,干扰检测有效率最高可达到98.3%。此外,该算法可根据信号信噪比灵活调整参考门限,是一种适用于低频时码信号的干扰检测算法。A new signal weighting detection algorithm is proposed for interference detection in the low-frequency time code signals.The algorithm uses two weighting factors to average the signal power and carrier power,which is used as referencing threshold for the detection and judgment of interference.Compared with the commonly used energy detection algorithms for interference detection,the proposed weighted detection algorithm is less affected by interference,and has higher detection efficiency in detecting interference,especially for the high-power interference.When signal to noise ratio(SNR)>0,its interference detection rate can reachto 98.3%.In addition,the algorithm can flexibly adjust the referencing threshold according to SNR.This signal weighting detection algorithm is a suitable interference detection algorithm for low-frequency time code signals.

关 键 词：低频时码 干扰检测 能量检测算法 加权检测算法 

分 类 号：P127.1[天文地球—天体测量]