一种基于稀疏信号的时差频差联合估计方法研究  

A joint estimation method of time difference and frequency difference based on sparse signal

作　　者：王善和[1,2] 华宇 高媛媛[1] 向渝[1] 黄长江[1] 赵弦[1] 薛伟成[1] WANG Shan-he;HUA Yu;GAO Yuan-yuan;XIANG Yu;HUANG Chang-jiang;ZHAO Xian;XUE Wei-cheng(National Time Service Center,Chinese Academy of Sciences,Xi’an 710600,China;University of Chinese Academy of Sciences,Beijing 100049,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

出　　处：《时间频率学报》2021年第1期1-9,共9页Journal of Time and Frequency

基　　金：中国科学院国家授时中心“青年创新人才”资助项目(国授发字〔2017〕48号)。

摘　　要：基于非合作信号的时差频差估计是无源探测中的关键技术之一。对于给定信号,为提高时差估计精度,可通过提高采样率或增加采样时长来实现,但是增加了数据存储和传输的成本。因此,针对在频域上稀疏的信号,结合相关函数的性质,本文通过理论分析与推导,给出了一种时差频差联合估计方法。数据仿真结果表明该方法与传统的互模糊函数法相比,在相同的时差频差估计精度下,能显著地压缩原始数据的存储容量,减少数据存储和传输的压力。Joint estimation of time difference and frequency difference based on non-cooperative signals is one of the key technologies for passive detection.For a given signal,in order to improve the accuracy of time difference estimation,it can be achieved by improving the sampling rate or increasing the sampling time,but it will increases the cost of data storage and transmission.Therefore,for the signal sparse in the frequency domain,combined with the properties of the correlation function,this study proposed a joint estimation method of time difference and frequency difference through the theoretical analysis and derivation.Data simulation results shown that compared with the traditional corss-ambiguity function under the same accuracy of time difference and frequency difference estimation,this method can compress the storage capacity of original data significantly,thus reduces the pressure of data storage and transmission.

关 键 词：时差频差联合估计 稀疏信号 无源探测 

分 类 号：TN957.51[电子电信—信号与信息处理]