噪声对基于PAF的PRBC-CW信号识别的影响  

Effect of Stationary Noise on PRBC-CW Signal Recognition Based on Periodic Ambiguity Function

作　　者：刘静[1] 赵惠昌[2] 张淑宁[2] 

机构地区：[1]中国电子科技集团公司第三十八研究所,安徽合肥230088 [2]南京理工大学电子工程与光电技术学院,江苏南京210094

出　　处：《雷达科学与技术》2014年第3期280-284,共5页Radar Science and Technology

基　　金：国家部委基金(No.9140A05040510BQ0201);江苏省普通高校研究生科研创新计划(No.CX10B_126Z)

摘　　要：针对基于周期模糊函数的伪码调相连续波雷达信号的参数提取,分析了在有限采集时间下噪声对参数估计精度的影响。首先推导了伪码调相连续波雷达信号的周期模糊函数,给出了基于周期模糊函数的参数估计方法;然后分析了参数估计受噪声影响的原因,推导了在模糊函数变换中,这些由噪声所产生项(不期望项)的均值和方差,并进行了仿真分析。结果表明,截获信号模糊函数的噪声项方差及噪声功率大小与有限采样时间有关,随着采样数据的增大,噪声的方差趋于无限小,对参数估计精度的影响也越来越小。With the limited sample time on pseudo-random biphase-coded continuous wave（PRBC-CW） radar signal, the effect of stationary noise on the feature parameter extraction accuracy based on periodic ambiguity function was analyzed. Firstly, the periodic ambiguity function of PRBC-CW was deduced and the parameter extraction method based on periodic ambiguity function was described. Then the noise effect on feature parameter extraction was analyzed. The mean and variance of the unwanted items generated by noise were deduced and simulated in the processing of the transform. Results show that the mean and variance of unwanted ambiguity function items for the intercepted signal have a relationship with the noise power and the sample time. With the signal data increasing, the variance of unwanted items tends to be infinitesimal and the effect on parameter extraction accuracy is also getting smaller.

关 键 词：电子侦察 周期模糊函数(PAF) 伪码调相(PRBC) 噪声 

分 类 号：TN97[电子电信—信号与信息处理] TN957[电子电信—信息与通信工程]