当前位置: 首页>博士论文>资源详情
基于Bayes方法的高灵敏度GPS信号跟踪
中文摘要

随着位置服务需求的日益增长,特别是城市高楼、室内等微弱卫星信号环境中应用需求的扩展,一种更高性能的接收机——高灵敏度接收机成为导航领域研究的热点。结合国家的战略需求,基于国家863课题“高灵敏度双模卫星导航接收机及芯片技术”,本文对其中的若干关键技术进行了研究和试验。主要包括以下内容。 本文给出了一种有针对性的接收机跟踪结构以实现弱信号环境下的高灵敏度GPS跟踪。通过对导航信息格式的充分利用,以及对相关物理量的分析,本文提出了一种基于贝叶斯(Bayes)方法的跟踪引擎以提供在室内或其他高度衰减环境下GPS信号的跟踪能力。与传统的环路跟踪方式不同,本文提出的跟踪方式是基于信号处理的开环跟踪方式,从而具有更高的跟踪范围与鲁棒性。 本文提出的方法主要包括基于电文结构和频谱分析的跟踪策略、基于Bayes方法的跟踪引擎算法体系和在此基础上针对工程化的实现方案。跟踪策略界定了问题的框架与目标,Bayes方法提供了解决问题的方法,而实现方案对在低功耗平台上的实现和最终芯片化的可行性进行了论证。为了论证这一方法,本文还对高灵敏度下的接收机环境进行了建模与实测分析。同时,为了从传统方法汲取突破点并进行对照分析,还对经典跟踪结构在高灵敏度环境下的性能进行了讨论。 为了进一步验证该方法的实用性,本文给出了基于信号采集验证平台的测试结果。测试结果显示,在电文预知的情况下,基于Bayes方法的跟踪引擎能够在复杂环境下对信号进行跟踪,其跟踪灵敏度C/N₀最低至14dB-Hz以下。 关键词:GPS 高灵敏度 跟踪 贝叶斯方法

英文摘要

With location-based services to the growing demand, especially in urban, interior, such as a weak satellite signal environment for the expansion of demand, a more high-performance receiver - high sensitivity navigation receiver has become a hot area of research. Combination of country's strategic needs, based on the subject of National 863 "high-sensitivity dual-mode satellite navigation receiver and chip technology", one of the key technologies is researched and tested in this paper. The contents mainly include the following: In this paper, a new type of receiver tracking architecture to achieve weak signal environment of high-sensitivity GPS tracking is proposed. Through the full use of navigation message formats, as well as analysises of the relevant physical quantities, this paper presents a tracking engine based on Bayesian-approach to provide GPS signal tracking capability at a high degree of attenuation or other interior environment. This approach engine is based on the signal processing of open-loop tracking mode, which is distinct from the conventional tracking loop, gives a higher tracking scope and more robustness. Method proposed in this paper mainly include three parts: the tracking strategy based on the navigation message structure and the spectral analysis approach, the tracking engine algorithm system based on the Bayesian method and the implementation scheme of the algorithm. The tracking strategy defines the framework and objectives, the Bayesian methods provide a solution to the problem, and the implementation scheme demonstrates the implementation on low-power platform and eventually on a ASIC chip. For the full discussion of this approach, this article also gives environment modeling and experimental analysis under the high sensitivity application. At the same time, for comparative analysis and searching the breakthrough point among the traditional methods, the classic track structure performance under high-sensitivity environment are discussed. In order to further verify the practicality of the method, this article also gives a platform based on the signal acquisition to verify simulation results. The test results indicate that, in the message predictable circumstances, the Bayesian-approach tracking engine can track the signal in complex environment with the tracking sensitivity down to a C/N₀ of 14dB-Hz. Key words: GPS High-sensitivity Track Baysian-Approach

作者相关
主题相关
看过该书的人还在看哪些书