测绘学报 ›› 2022, Vol. 51 ›› Issue (1): 87-94.doi: 10.11947/j.AGCS.2022.20200527

• 大地测量学与导航 • 上一篇    下一篇

空间碎片激光测距微弱信号实时识别方法

马天明, 赵春梅, 何正斌, 张浩越   

  1. 中国测绘科学研究院北京房山人卫激光国家野外科学观测研究站, 北京 100036
  • 收稿日期:2020-11-06 修回日期:2021-10-18 发布日期:2022-02-15
  • 通讯作者: 赵春梅 E-mail:zcm@casm.ac.cn
  • 作者简介:马天明(1989-),男,博士,研究方向为空间碎片激光测距。E-mail:18941835327@163.com
  • 基金资助:
    国家自然科学基金(42174033;41774013)

Real time recognition method of weak signal in space debris laser ranging

MA Tianming, ZHAO Chunmei, HE Zhengbin, ZHANG Haoyue   

  1. Beijing Fangshan Satellite Laser Ranging National Observation and Research Station, Chinese Academy of Surveying and Mapping, Beijing 100036, China
  • Received:2020-11-06 Revised:2021-10-18 Published:2022-02-15
  • Supported by:
    The National Natural Science Foundation of China (Nos. 42174033; 41774013)

摘要: 针对传统二次滤波算法在空间碎片激光测距微弱信号实时识别中表现出误检率高的问题,基于空间碎片激光测距回波信号时间相关性的特点,本文提出采用一次滤波和线性拟合相结合的方法,顾及微弱信号实时识别的搜索代价与识别精度,实现了空间碎片激光测距微弱信号的实时识别。利用空间碎片激光测距实测数据进行了算法验证,结果表明:本文提出的激光测距微弱信号实时识别算法能够快速准确提取空间碎片的微弱信号,误检率由原来的5.72%降低到0.12%,漏检率由原来的0.77%降低到0.34%,对提高空间碎片的探测成功率具有重要意义。

关键词: 空间碎片, 激光测距, 微弱信号, 实时识别, 线性拟合

Abstract: In view of the high false detection rate of traditional secondary filtering algorithm in real-time recognition of weak signal from space debris laser ranging, based on the characteristics of the time correlation of echo signal from space debris laser ranging, a method combining primary filtering and linear fitting is proposed, by which the search cost and recognition accuracy of real-time identification of weak signal is considered and the real-time identification of weak signal from space debris laser ranging is realized. The algorithm was verified using the actual data of space debris laser ranging, and the results showed that the weak signal of space debris can be quickly and accurately extracted by the real-time recognition algorithm for weak signal of laser ranging proposed in this paper, and the false detection rate was decreased from 5.72% to 0.12%, the rate of missed inspection was decreased from 0.77% to 0.34%, which is of great significance to improve the success rate of space debris detection.

Key words: space debris, laser ranging, weak signal, real-time recognition, linear fitting

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