Volume 27 Issue 6
Nov.  2007
Turn off MathJax
Article Contents
HU Shengbo, MENG Xin, YAO Xiujuan, ZHAO Na, YAN Yi. Key Technologies of Autonomous Radio for Deep Space Network[J]. Journal of Space Science, 2007, 27(6): 512-517. doi: 10.11728/cjss2007.06.512
Citation: HU Shengbo, MENG Xin, YAO Xiujuan, ZHAO Na, YAN Yi. Key Technologies of Autonomous Radio for Deep Space Network[J]. Journal of Space Science, 2007, 27(6): 512-517. doi: 10.11728/cjss2007.06.512

Key Technologies of Autonomous Radio for Deep Space Network

doi: 10.11728/cjss2007.06.512
  • Received Date: 1900-01-01
  • Rev Recd Date: 1900-01-01
  • Publish Date: 2007-11-15
  • The primary application of autonomous radio for deep space network is relaying communication signals from multiple deep space assets. The advantage of an autonomous radio is that it can communicate to each asset that comes into view, automatically, without having to be reconfigured from Earth for each pass to account for differences in the signal characteristics. The autonomous radio that can meet the need for deep space network is discussed. The fundamental difference between a conventional radio, or even a software-defined radio, and a truly autonomous radio for deep space network is that an autonomous radio has the ability to recognize features of an incoming signal without much a priori knowledge. Using conventional estimation and tracking design, one quickly gets into a chicken and egg problem. In this paper, we overview the architecture of an autonomous radio, define many parameters one might desire to estimate from the signal. Finally, an iterative layered architecture model of parameters estimating in the autonomous radio is presented, message-passing and the interaction of the estimators is analyzed.

     

  • loading
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article Views(2323) PDF Downloads(1106) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return