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KALMAN滤波在GPS导航定位中的应用.docx

发布:2017-02-04约8.9千字共30页下载文档
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GPS导航定位中Kalman算法的应用摘要:GPS是美国从本世纪70年代开始研制,经过20年,耗资200亿美元,在1994年全面建成,具有在海陆空进行全方位实时三维导航与定位能力的新一代卫星导航与定位系统。GPS技术包括很多优势,其中最吸引人的地方就是它的全球性、全能性、全天侯性,不仅使得它能为用户随时随地提供定位信息,而且使它可以广泛应用于全球各个军事部门和民用等诸多领域,但是因为GPS定位包含多种误差源,这就使其定位精度受到了一定的影响。本文以介绍全球定位系统为前提,首先简单的介绍GPS,其次在利用GPS定位测伪距和已知卫星坐标经过绝对位置解算的前提下,为了改善和提高定位算法的精度,也为了GPS定位技术的应用更加广泛,从而提出Kalman滤波算法。综上所述,本文的研究工作对导航定位系统中的传统滤波方法的改进有一定的参考,并对Kalman滤波算法在改善GPS动态导航的动态性能和提高定位精度方面的应用具有一定的实用价值。关键词: GPS;伪距测量;卡尔曼滤波 Abstract GPS is developed since 70 s of this century in the United States, after 20 years, at a cost of $20 billion, completed in 1994, has in carring all-round real-time three-dimensional navigation and positioning capability of a new generation of satellite navigation and positioning system.GPS technology including many advantages, one of the most attractive place is its global, totipotency, 24 hours a day, not only make it for the user to provide location information anytime and anywhere, and makes it can be widely used in many fields such as military and civilian, but because the GPS contains a variety of error sources, which makes its positioning accuracy is influenced by a certain. Based on global positioning system is introduced in this paper, first of all, a simple introduction to GPS, second is using GPS pseudorange measurement and known satellite coordinates through the absolute position under the premise of solving, in order to improve and improve the accuracy of localization algorithm, but also to the application of GPS technology is more extensive, and Kalman filter algorithm is put forward. To sum up, in this paper, the research work of navigation and positioning system of traditional filtering method improvement has a certain reference, and the Kalman filtering algorithm in improving the dynamic performance and improve the positioning precision GPS navigation application has a certain practical value.Keywords:GPS; recursive least squares; kalman filter.目录摘要IIAbstractII1绪论21.1 概述21.2 研究背景21.3 本文研究思路与工作安排22 GPS导航定位系统的基本原理32.
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