李英冰, 闫景仙, 熊程波, 陈中新. GNSS观测值的压缩方法研究[J]. 武汉大学学报 ( 信息科学版), 2012, 37(7): 818-822.
引用本文: 李英冰, 闫景仙, 熊程波, 陈中新. GNSS观测值的压缩方法研究[J]. 武汉大学学报 ( 信息科学版), 2012, 37(7): 818-822.
LI Yingbing, YAN Jingxian, XIONG Chengbo, CHEN Zhongxin. Compression Algorithm for GNSS Observations Data[J]. Geomatics and Information Science of Wuhan University, 2012, 37(7): 818-822.
Citation: LI Yingbing, YAN Jingxian, XIONG Chengbo, CHEN Zhongxin. Compression Algorithm for GNSS Observations Data[J]. Geomatics and Information Science of Wuhan University, 2012, 37(7): 818-822.

GNSS观测值的压缩方法研究

Compression Algorithm for GNSS Observations Data

  • 摘要: 随着GNSS系统在军事和经济中的广泛应用,每天都会记录大量观测值,这些数据需要存储和在网络上传输。为了减少数据的存储空间和提高网络的传输效率,进行GNSS观测值的压缩算法研究是十分必要的。提出了采用六十进制的数位存储方法,利用递推差分算法进行GNSS观测值压缩,开发了相应的软件GnssRAR(V1.0)。实验表明,GnssRAR的压缩比率达到80%左右,具有非常好的压缩效果。

     

    Abstract: With wide application of GNSS in the military and the economy area,a large number of observations recorded every day.These data need to store in the disks and transfer on the internet.In order to reduce data storage space and improve network transmission efficiency,it is necessary to study the compression algorithm for GNSS observations.In this paper,sixty-hex is put forward for digital storage,Recursive differential operation algorithm is used for GNSS observations compression.We have developed the software GnssRAR(V1.0),which can compress GNSS observation data.Experiments show that the compression ratio of GnssRAR can achieved 80% with very good compression.

     

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