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一种低轨双星雷达信号无模糊频差估计算法
引用本文:姚山峰,贺青,欧阳鑫信,夏畅雄.一种低轨双星雷达信号无模糊频差估计算法[J].宇航学报,2018,39(11):1275-1283.
作者姓名:姚山峰  贺青  欧阳鑫信  夏畅雄
作者单位:盲信号处理重点实验室,成都 610041
基金项目:国防科技重点实验室基金(9140C860304)
摘    要:针对低轨双星组合接收低脉冲重复频率(LPRF)雷达信号的频差(DFO)估计存在模糊的问题,提出一种基于时差差分的频差无模糊高精度估计算法,该算法通过对高精度的时差测量值进行中心差分获得无模糊的频差估值。仿真结果表明,新算法能对PRF低至300 Hz的雷达信号进行无模糊的频差估计,估计精度在信噪比高于15 dB时逼近克拉美劳下界,可有效扩大低轨双星时/频差定位系统对LPRF信号的适用范围。

关 键 词:相参脉冲串  低脉冲重复频率  频差模糊  时差差分  低轨双星时/频差定位  
收稿时间:2018-01-25

A Novel Method for Unambiguous DFO Estimation of Radar Signals in LEO Dual Satellite Geolocation System
YAO Shan feng,HE Qing,OUYANG Xin xin,XIA Chang xiong.A Novel Method for Unambiguous DFO Estimation of Radar Signals in LEO Dual Satellite Geolocation System[J].Journal of Astronautics,2018,39(11):1275-1283.
Authors:YAO Shan feng  HE Qing  OUYANG Xin xin  XIA Chang xiong
Institution:National Key Laboratory of Blind Signals Processing, Chengdu 610041, China
Abstract: A high-precision estimation algorithm of differential frequency offset (DFO) without ambiguity based on the differential DTO is proposed to estimate the DFO of the low pulse repetition frequency (PRF) radar signals in an LEO dual-satellite geolocation system. The DFO estimation without ambiguity can be estimated using the central difference method of high-precision DTO measurement. The numerical simulations have demonstrated that the effectiveness of the approach proposed can adapt to the radar signals with PRF low to 300 Hz and the estimation accuracy can approximate the Cramer-Rao lower bound (CRLB) with the SNR above 15 dB, which can expand the scope of the application of the LEO dual-satellite DTO/DFO geolocation system.
Keywords:Coherent pulse trains  Low PRF  DFO ambiguity  Central difference of DTO  LEO dual satellite DTO/DFO geolocation  
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