新概念认知卫星导航系统研究
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摘要
从国际电报联盟(ITU)给出的频谱划分可知,当前的卫星导航频率空间已经非常拥挤,四大卫星导航系统除了GLONASS外, GPS, Galileo和COMPASS系统的频段部分重叠或完全重叠,导致卫星导航频谱信号互干扰客观存在,不可避免.虽然新的导航信号设计体制提供了缓解卫星导航信号互干扰的方法,但从长远看不能从根本解决卫星导航信号兼容性问题.本文针对全球卫星导航系统工作模式及机理,以人脑的工作模式与机理为参考,提出基于认知卫星导航系统的基本概念和内涵,构建认知卫星导航系统架构模型和信息闭环生命周期,将电磁环境特性和信号兼容特性融入系统的整体结构中,以便使系统性能随电磁环境变化和频谱利用率特性的不同而自适应地改变,分析认知卫星导航系统的工作流程,梳理系统发展关键技术,并针对系统频谱感知模块进行了仿真,验证了方法的准确性.
According to the spectrum division given by the International Telegraph Union(ITU), the current satellite navigation frequency space is particularly crowded. In addition to GLONASS, the four satellite navigation systems partially or completely overlap the frequency bands of GPS, Galileo and COMPASS systems, resulting in satellite navigation signal interference exists objectively and inevitable.Although the new navigation signal design system provides a method of alleviating the mutual interference of satellite navigation signals, however, it can not fundamentally solve the problem of satellite navigation signal compatibility in the long run. Aiming at the demand of compatibility of global satellite navigation system and taking the work pattern and mechanism of human brain as a reference, this paper proposes the basic concept and connotation based on cognitive satellite navigation system and constructs the cognitive satellite navigation system architecture model and information closed-loop life cycle. The electromagnetic environment characteristics and signal compatibility characteristics into the overall structure of the system in order to make the system performance changes with the electromagnetic environment and spectral characteristics of different adaptive changes, in theory, put forward a high-performance environmental model parameter perception Satellite navigation system architecture model, which is the future direction of satellite navigation system development.
According to the spectrum division given by the International Telegraph Union(ITU), the current satellite navigation frequency space is particularly crowded. In addition to GLONASS, the four satellite navigation systems partially or completely overlap the frequency bands of GPS, Galileo and COMPASS systems, resulting in satellite navigation signal interference exists objectively and inevitable.Although the new navigation signal design system provides a method of alleviating the mutual interference of satellite navigation signals, however, it can not fundamentally solve the problem of satellite navigation signal compatibility in the long run. Aiming at the demand of compatibility of global satellite navigation system and taking the work pattern and mechanism of human brain as a reference, this paper proposes the basic concept and connotation based on cognitive satellite navigation system and constructs the cognitive satellite navigation system architecture model and information closed-loop life cycle. The electromagnetic environment characteristics and signal compatibility characteristics into the overall structure of the system in order to make the system performance changes with the electromagnetic environment and spectral characteristics of different adaptive changes, in theory, put forward a high-performance environmental model parameter perception Satellite navigation system architecture model, which is the future direction of satellite navigation system development.
引文
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13 Sharma S K, Chatzinotas S, Ottersten B. Cognitive beam hopping for spectral coexistence of multibeam satellites. In:Future Network and Mobile Summit(Future Network Summit). Lisboa:IEEE, 2013. 1–10
2 Psimoulis P A, Stiros S C. A supervised learning computer-based algorithm to derive the amplitude of oscillations of structures using noisy GPS and Robotic Theodolites(RTS)records. Comput Struct, 2012, 92-93:337–348
3 Moschas F, Stiros S. PLL bandwidth and noise in 100 Hz GPS measurements. GPS Solut, 2015, 19:173–185
4 Li P, Zhang X. Integrating GPS and GLONASS to accelerate convergence and initialization times of precise point positioning. GPS Solut, 2014,18 :461–471
5 Haykin S, Thomson D J, Reed J H. Spectrum sensing for cognitive radio. Proc IEEE, 2009, 97:849–877
6 Khozeimeh, F, Haykin, S. Self-organizing dynamic spectrum management for cognitive radio networks. In:The 8th Conference on Communication Networks and Services Research, 2010. 1–8
7 Mitola J, Maguire G Q. Cognitive radio:Making software radios more personal. IEEE Pers Commun, 1999, 6:13–18
8 Haykin S, Zia A, Xue Y, et al. Control theoretic approach to tracking radar:First step towards cognition. Digital Signal Process, 2011, 21:576–585
9 Guerci J R. Cognitive Radar:The Knowledge-Aided Fully Adaptive Approach. Boston:Artech House, 2010
10 Sharma S K, Chatzinotas S, Ottersten B. Interference alignment for spectral coexistence of heterogeneous networks. J Wireless Com Network,2013, 2013:46
11 Sharma S K, Chatzinotas S, Ottersten B. Satellite Cognitive Communications and Spectrum Regulation. In:Hofmann M. International Regulations of Space Communications. Brussels:Larcier, 2013
12 Sharma S K, Chatzinotas S, Ottersten B. Spatial filtering for underlay cognitive SatComs. In:Dhaou R, Beylot A L, Montpetit M J, et al., eds.Personal Satellite Services. PSATS 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 123. Cham:Springer, 2013. 186–198
13 Sharma S K, Chatzinotas S, Ottersten B. Cognitive beam hopping for spectral coexistence of multibeam satellites. In:Future Network and Mobile Summit(Future Network Summit). Lisboa:IEEE, 2013. 1–10