| GNSS大网双差模型并行快速解算方法 |
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| 引用本文： | 崔阳,吕志平,李林阳,陈正生,孙大双,邝英才.GNSS大网双差模型并行快速解算方法[J].测绘学报,2017,46(7):848-856. |
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| 作者姓名： | 崔阳 吕志平 李林阳 陈正生 孙大双 邝英才 |
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| 作者单位： | 1. 后勤工程学院, 重庆 401331;2. 信息工程大学, 河南 郑州 450052;3. 火箭军工程大学, 陕西 西安 710025 |
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| 基金项目： | 国家重点研发计划，国家自然科学基金(41674019)The National Key Research and Development Plan，The National Natural Science Foundation of China |
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| 摘 要： | 针对GNSS大网数据采用双差模型解算时存在时效性差的问题,提出了一种改进的独立双差观测值构建与独立基线并行解算的方法,采用并行技术实现多核并行与网络多节点并行的双层自动快速解算策略。通过对约375个IGS站1周的观测数据进行处理,改进的独立双差观测值选取方法比传统路径最短方法所选的单天全网独立双差数据平均多了53万个,E、N、U方向坐标重复性平均提升了14.0%、12.9%和29.2%。采用不同解算策略的计算结果表明,4台普通计算机的并行计算比传统串行方案的计算效率提升了14倍左右,如375个测站采用改进观测值构建方法的4节点并行方案仅需要35.62min,显著提高了整网双差的解算效率。
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| 关 键 词： | 大型GNSS网 双差模型 独立基线 多核多节点 并行计算 |
| 收稿时间： | 2016-12-05 |
| 修稿时间： | 2017-05-24 |
A Fast Parallel Processing Strategy of Double Difference Model for GNSS Huge Networks |
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| CUI Yang,L Zhiping,LI Linyang,CHEN Zhengsheng,SUN Dashuang,KUANG Yingcai.A Fast Parallel Processing Strategy of Double Difference Model for GNSS Huge Networks[J].Acta Geodaetica et Cartographica Sinica,2017,46(7):848-856. |
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| Authors: | CUI Yang L Zhiping LI Linyang CHEN Zhengsheng SUN Dashuang KUANG Yingcai |
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| Institution: | 1. Logistical Engineering University, Chongqing 401331, China;2. Information Engineering University, Zhengzhou 450052, China;3. Xi'an High-Tech Institute, Xi'an 710025, China |
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| Abstract: | In view of the existing problem of poor timeliness for larger GNSS network data processed by the double-difference (DD) model, a new approach for the independent DD observations selection and integrated processing of huge GNSS networks is presented by using the parallel algorithm design and parallel programming technology in this paper.The new approach is implemented by using the parallel computing strategy of multi-core parallel level and network parallel level.Validation experiment with GPS observation data collected from about 375 IGS stations was carried out, which demonstrated that the new approach has an average about 530,000 more independent DD ambiguities than the traditional method.The average ENU(East North Vertical) positioning precision of the new approach was improved by 14.0%、12.9% and 29.2%.In the whole network processing of 375 stations, the efficiency of parallel solution with four quad-core nodes is increased about 14 times than the traditional serial computing scheme, significantly improves the efficiency of the entire network processing with DD model. |
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| Keywords: | large GNSS network double difference model independent baseline multi-core multi-node parallel computing |
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