期刊文献+

卫星导航信道模型综述 被引量:9

A survey of satellite navigation channel models
下载PDF
导出
摘要 卫星导航信道具有宽带、时变和城区复杂多径等特征,为了能够充分挖掘、有效预测和评估全球导航卫星系统(Global Navigation Satellite System,GNSS)的性能,需要对各种环境中的卫星信道进行测量和建模研究,文中主要讨论了卫星导航信道的测量和建模及其研究进展.首先给出了信道建模的方法和与卫星导航相关的测量活动的汇总,然后讨论比较了几种常见的卫星导航信道模型,最后探讨了卫星导航信道建模面临的挑战以及未来的研究重点. Satellite navigation channel has the characteristics of broadband,time-varying,complex multipath in urban,etc.In order to practically enhance,effectively predict and evaluate the performance of Global Navigation Satellite System(GNSS),it is necessary to measure and model the satellite channel in the challenging environment.This paper mainly discusses the measurement and modeling of satellite navigation channel and its research advances.It summarizes the research status of measurement activities,reviews the general methods of channel modeling and the summary of measurement activities related to satellite navigation,and discusses and compares several prevailing GNSS channel models.Finally,the challenge of satellite navigation channel modeling and the future research focus are discussed.
作者 周顺 林红磊 王茂磊 唐小妹 欧钢 ZHOU Shun;LIN Honglei;WANG Maolei;TANG Xiaomei;OU Gang(College of Electronic Science and Technology,National University of Defense Technology,Changsha 410073,China;The 63rd Research Institute,National University of Defense Technology,Nanjing 210007,China;Beijing Satellite Navigation Centre,Beijing 100094,China)
出处 《电波科学学报》 EI CSCD 北大核心 2020年第4期504-514,共11页 Chinese Journal of Radio Science
关键词 卫星导航 信道模型 信道测量与建模 陆地移动卫星 传播特性 satellite navigation channel model channel measurements and modeling land mobile satellite propagation characteristic
  • 相关文献

参考文献3

二级参考文献21

  • 1许其凤,GPS卫星导航与精密定位,1989年
  • 2Garin L J. The "shaping correlator", novel multipath mitigation technique applicable to Galileo BOC(1,1) modulation waveforms in high volume markets[C]// The European Navigation Conference. Munich. Germany. 2005:1-16.
  • 3Fenton P C, Jones J. The theory and performance of NovAtel Inc's Vision correlator[C]// Proceedings of ION GNSS 2005. Long Beach, USA, 2005:2178-2186.
  • 4Irsigler M, Eissfeller B. Comparison of multipath mitigation techniques with consideration of future signal structures[C]//The Proceedings of ION GNSS 2003. Portland, USA, 2003: 2584-2592.
  • 5Spirent Communications. Simulating multipath[R]. Paignton: Application Note DAN004-TM, Issue 1-00, 2011.
  • 6Agrawal A, Kumar N, Radhakrishna M. Multispectral image classification: A supervised neural computation.approach based on rough-fuzzy membership function and weak fuzzy similarity relation[J]. International Journal of Remote Sensing, 2007, 28(20): 4597-4608.
  • 7Valimaki V, Karjalainen M, Laakso T I. Fractional delay digital filters[C]// Proceedings of IEEE International Symposium on Circuits and Systems. Chicago, USA: IEEE, 1993: 355-358.
  • 8Laakso T I, Valimaki V, Karjalainen M, et al. Splitting the unit delay: Tools for fraction delay filter design[J]. IEEE Signal Processing Magazine, 1996, 13( 1): 30-60.
  • 9Hui Z, Juebang Y. A simple and efficient design of variable fractional delay FIR filters[J]. IEEE Transactions on Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on, 2006, 53(2): 157-160.
  • 10Olkkonen J T, Olkkonen H. Fractional delay filter based on the B-spline transform[J]. IEEE Signal Processing Letters, 2007, 14(2): 97-100.

共引文献53

同被引文献67

引证文献9

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部