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清华大学学报(自然科学版)  2016, Vol. 56 Issue (6): 650-655    DOI: 10.16511/j.cnki.qhdxxb.2016.22.027
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微纳卫星编队的欠采样传输无源定位方法
李振强1, 黄振2, 陈曦2, 葛宁1
1. 清华大学 电子工程系, 北京 100084;
2. 清华大学 宇航技术研究中心, 北京 100084
Passive location method based on sub-sampling transmissions in micro/nano-satellite
LI Zhenqiang1, HUANG Zhen2, CHEN Xi2, GE Ning1
1. Department of Electronic Engineering, Tsinghua University, Beijing 100084, China;
2. Space Center, Tsinghua University, Beijing 100084, China
全文: PDF(1082 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 基于微纳卫星编队的到达时差(TDOA)/到达频差(FDOA)无源定位系统中, 定位精度的提高需大幅度增加链路传输数据量, 在星间链路带宽受限情况下将严重制约系统的工作效率。该文提出了一种欠采样传输时频差估计方法, 在不增加传输数据量条件下, 保持TDOA估计精度不变, 且FDOA估计精度随欠采样所形成的时间扩展显著提升。分析了欠采样传输的时差估计精度, 以及最大欠采倍数约束条件。仿真表明: 对于宽带信号, 该方法在传输数据量相同条件下, 定位性能相对于压缩感知(CS)方法可提升6倍以上。
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李振强
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关键词 无源定位到达时差到达频差欠采样压缩感知    
Abstract:In time difference of arrival (TDOA)/frequency difference of arrival (FDOA) passive location systems used in micro/ nano-satellite formations, improving the location accuracy usually requires a large increase in data transmissions, which severely reduces the system efficiency due to the narrow data link bandwidth of the satellites. A TDOA/FDOA estimation method is developed based on sub-sampling transmissions without increasing the data transmissions, which significantly improves the FDOA accuracy by a time expansion while maintaining the TDOA estimation accuracy. The TDOA accuracy is analyzed and the maximum sub-sampling rate is derived. Simulations show that for wideband signals, the location accuracy of this method is improved more than 6 fold over that of the compressed sensing method for the same data transmission.
Key wordspassive location    time difference of arrival (TDOA)    frequency difference of arrival (FDOA)    sub-sampling    compress sensing (CS)
收稿日期: 2015-06-01      出版日期: 2016-07-01
ZTFLH:  TN959.1  
通讯作者: 黄振, 副研究员, Email: huangzhen@tsinghua.edu.cn     E-mail: huangzhen@tsinghua.edu.cn
引用本文:   
李振强, 黄振, 陈曦, 葛宁. 微纳卫星编队的欠采样传输无源定位方法[J]. 清华大学学报(自然科学版), 2016, 56(6): 650-655.
LI Zhenqiang, HUANG Zhen, CHEN Xi, GE Ning. Passive location method based on sub-sampling transmissions in micro/nano-satellite. Journal of Tsinghua University(Science and Technology), 2016, 56(6): 650-655.
链接本文:  
http://jst.tsinghuajournals.com/CN/10.16511/j.cnki.qhdxxb.2016.22.027  或          http://jst.tsinghuajournals.com/CN/Y2016/V56/I6/650
  图1 欠采样传输方法处理流程
  图2 不同抽取因子D 下的TDOA 方向CAF峰
  图3 本文方法与压缩感知方法参数估计性能比较
  图4 平均定位误差随D 或CR 变化曲线
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