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基于周期模糊函数理论的信噪比估计
引用本文:刘 静,贲 德,周新刚.基于周期模糊函数理论的信噪比估计[J].现代雷达,2015(12):25-28.
作者姓名:刘 静  贲 德  周新刚
作者单位:金陵科技学院网络与通信工程学院,;金陵科技学院网络与通信工程学院,;通信网络技术管理中心
摘    要:周期模糊函数表示周期调制连续波信号的时延-频偏平面的相关,不同的信号具有不同的周期模糊函数。针对雷达中频信号的信噪比估计,提出了基于周期模糊函数理论的信噪比估计方法。根据信号和噪声在周期模糊函数中的不同位置具有不同的表现特征,推导了在高斯白噪声背景下基于周期模糊函数的信噪比估计公式,给出了实现算法,同时和其他信噪比估计算法进行了对比仿真分析。结果表明,基于周期模糊函数的信噪比估计方法,特别是对低信噪比情况下,估计精度高,算法简单,易于工程实现。

关 键 词:电子侦察  中频信号  周期模糊函数  信噪比

SNR Estimation Based on the Periodic Ambiguity Function Theory
LIU Jing,BEN De and ZHOU Xingang.SNR Estimation Based on the Periodic Ambiguity Function Theory[J].Modern Radar,2015(12):25-28.
Authors:LIU Jing  BEN De and ZHOU Xingang
Affiliation:School of Networks and Telecommunications Engineering;School of Networks and Telecommunications Engineering;Center of Communication Networks Technology Management
Abstract:Periodic ambiguity function is related to the time delay and frequency offset plane of a periodic modulation continuous wave, and different signals have different periodic ambiguity functions. To estimate the signal to noise ratio (SNR) of intermediate frequency signal, a method based on periodic ambiguity function was proposed. According to the different ambiguity function performance of signal and noise, the SNR estimation formula based on the periodic ambiguity function on the condition of Gauss white noise was derived, and the algorithm was given. In the end, the simulation was analyzed to compare with other methods. The results show that the accuracy of SNR estimation method based on the periodic ambiguity function is very high, especially for the condition of low SNR, and the algorithm is simple and easy to carry out.
Keywords:electronic reconnaissance  intermediate frequency signal  periodic ambiguity function  signal to noise ratio
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