外场条件下信噪比估计算法应用研究  

Research into The Application of SNR Estimation Algorithms under Out-field Condition

作　　者：高墨昀 顾军[1] 柴恒[1] GAO Mo yun;GU Jun;CHAI Heng(The 723Institute of CSIC,Yangzhou 225101,China;The 723 Institute of CSIC,Yangzhou 225101,China)

机构地区：[1]中国船舶重工集团公司第七二三研究所,江苏扬州225101

出　　处：《舰船电子对抗》2018年第2期80-84,共5页Shipboard Electronic Countermeasure

摘　　要：首先介绍了几种典型的信噪比估计算法,接着详细分析了其中2种估计算法:自相关矩阵奇异值分解法和M2M4估计法。对该2种算法的仿真计算结果表明:在低信噪比条件下,自相关矩阵奇异值分解法的准确性和稳定性优于M2M4估计法,而在信噪比较高时,自相关矩阵奇异值分解法的准确性略逊于M2M4法,但两者差异较小。在外场条件下,对截获到的较大脉宽脉冲应用该2种信噪比估计算法,结果表明:自相关矩阵奇异值分解法的SNR估计值与M2M4估计法接近,但方差更小,算法更加稳定,基本与仿真结果相吻合。This paper firstly introduces several typical signal-to-noise ratio estimation algorithms,then detailedly analyzes two of the estimation algorithms：singular value decomposition of signal self-correlation matrix（SVD）and estimation method of secondary fourth-order moment（M2 M4）.Simulative calculation results show that the veracity and stability of SVD are better than that of M2 M4 under the condition of low signal to noise ratio（SNR）,while under the condition of rather high SNR,the veracity of SVD is a little bit lower than that of M2 M4,and the difference of the two is small.Results of out-field experiment on captured radar signals with relatively larger pulse widths show that the SNR estimation result from SVD is similar to the result from M2 M4 estimation method but with a lower variance,which indicates that the SVD algorithm is more stable,the results are basically identical to the simulation results.

关 键 词：信噪比估计 奇异值分解 M2M4 外场环境 

分 类 号：TN971.1[电子电信—信号与信息处理]