Reliability Evaluation for Blind Processing Results of LFM Signal Based on Cyclostationarity
HU Guo-bing1,2, XU Li-zhong2, WU Shan-shan1, GAO Yan1, WANG Shu-wang1
1. School of Electronic Information, Nanjing College of Information Technology, Nanjing, Jiangsu 210023, China;
2. College of Computer and Information Science, Ho Hai University, Nanjing, Jiangsu 210098, China
针对线性调频(LFM,Linear Frequency Modulation)信号盲处理结果的可靠性评估问题,提出了一种基于循环频率特征分析的处理算法.首先对观测信号进行调制方式识别及参数估计,并据此建立参考信号,后将观测信号与参考信号作相关运算.通过检测相关序列在零频率附近是否存在循环频率,实现对LFM信号盲处理结果的可靠性检验.文中对所提出检验算法的错误概率进行了理论推导,并以常用的离散多项式变换(DPT,Discrete Polynomial Transform)法为例进行了实证分析.仿真结果表明,相对于已有时域方法而言,本文算法无需估计信噪比,且在低信噪比条件下具有更好的统计性能.
A reliability test method based on cyclic frequency features was proposed to evaluate the blind processing results of linear frequency modulation (LFM) signal.The reference signal was constructed depending on the identified modulationtype and the correspondent parameters estimations at first and the correlations between the observed signal and the reference signal were calculated consequently.The reliability for LFM signal processing result was tested by detecting the presence of cyclic frequencies near zero frequency of the correlations.The theoretical error probability of the detection was derived and the case study for the discrete polynomial transform (DPT) method was described in the paper.Simulation results show that the proposed algorithm avoids estimating of signal-to-noise ratio and is superior to the time domain based method under lower signal-to-noise ratios.
胡国兵, 徐立中, 吴珊珊, 高燕, 王书旺. 基于循环平稳分析的LFM信号盲处理结果可靠性评估[J]. 电子学报, 2016, 44(4): 788-794.
HU Guo-bing, XU Li-zhong, WU Shan-shan, GAO Yan, WANG Shu-wang. Reliability Evaluation for Blind Processing Results of LFM Signal Based on Cyclostationarity. Chinese Journal of Electronics, 2016, 44(4): 788-794.
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2016, Vol. 44 
