[1]王姣,姜苏洋,狄世超,等.GNSS系统中一种低复杂度的载噪比估计算法[J].哈尔滨工程大学学报,2018,39(06):1087-1092.[doi:10.11990/jheu.201612034]
 WANG Jiao,JIANG Suyang,DI Shichao,et al.A low complexity carrier to noise ratio estimation algorithm in GNSS system[J].hebgcdxxb,2018,39(06):1087-1092.[doi:10.11990/jheu.201612034]
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GNSS系统中一种低复杂度的载噪比估计算法(/HTML)
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《哈尔滨工程大学学报》[ISSN:1006-6977/CN:61-1281/TN]

卷:
39
期数:
2018年06期
页码:
1087-1092
栏目:
出版日期:
2018-06-05

文章信息/Info

Title:
A low complexity carrier to noise ratio estimation algorithm in GNSS system
作者:
王姣14 姜苏洋2 狄世超3 李金海4 欧松林4
1. 重庆邮电大学 光电信息感测与传输技术重庆市重点实验室, 重庆 400065;
2. 火箭军驻211厂军事代表室, 北京 100086;
3. 北京航天发射技术研究所, 北京 100076;
4. 中国科学院微电子研究所, 北京 100029
Author(s):
WANG Jiao14 JIANG Suyang2 DI Shichao3 LI Jinhai4 OU Songlin4
1. Chongqing Key Laboratory of Photoelectronic Information Sensing and Transmitting Technology, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
2. Military Representative Office, Rocket Army in 211 factory, Beijing 100086, China;
3. Beijing Institute of Space Launch of Technology, Beijing 100076, China;
4. Institute of Microelectronics of Chinese Academy of Sciences, Beijing 100029, China
关键词:
全球卫星导航系统载噪比估计估计偏差低复杂度输出时延适应性
分类号:
TN967.1
DOI:
10.11990/jheu.201612034
文献标志码:
A
摘要:
为了找到一种复杂度低和适应性强的载噪比估计算法,本文在分析了宽窄带功率比值法和方差求和法两种典型算法的基础上,提出了一种载噪比估计算法。对I支路二阶矩分布和I、Q四阶矩分布进行了的推导,得到了载噪比估计的精确表达式;论证了两种不同推导方法的一致性;从估计偏差、算法实现复杂度、输出时延、适应性四个方面对本文的方法进行了理论仿真和实测数据验证。结果表明:本文提出的算法估计误差小于1 dB,同时解决了宽窄带功率比值法不能直接应用于BD系统以及方差求和法在实际应用时实现较复杂的问题。本文提出的算法在保证一定性能的前提下,极大地降低了算法实现复杂度和输出时延,提升了适应性,可广泛应用于北斗等GNSS系统中。

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2016-12-12。
基金项目:国家自然科学基金项目(61271423).
作者简介:王姣(1992-),女,硕士研究生;李金海(1978-),男,副研究员.
通讯作者:王姣,E-mail:wangjiao1942622903@live.com
更新日期/Last Update: 2018-06-01