首页> 外文会议>International Symposium on Gravity, Geoid and Height Systems >Strapdown Airborne Gravimetry Using a Combination of Commercial Software and Stable-Platform Gravity Estimates
【24h】

Strapdown Airborne Gravimetry Using a Combination of Commercial Software and Stable-Platform Gravity Estimates

机译:使用商业软件和稳定平台的重力估算的组合的衣钩空气传播重量

获取原文

摘要

For the past two decades, airborne gravimetry using a Strapdown Inertial Measurement Unit (SIMU) has been producing gravity estimates comparable to the traditional stable-platform single-axis gravimeters. The challenge has been to control the long term drift of the IMU sensors, propagating into the long-wavelengths of the gravity estimates. This has made the stable-platform approach the preferred method for geodetic applications. In the summer of 2016, during a large airborne survey in Malaysia, a SIMU system was flown alongside a traditional LaCoste&Romberg (LCR) gravimeter. The SIMU observations were combined with GNSS observations using the commercial software product "Inertial Explorer" from NovAtel's Waypoint software suite, and it is shown how gravity estimates can be derived from these results. A statistical analysis of the crossover differences yields an RMS error of 2.5 mGal, which is comparable to the results obtained from the LCR gravimeter. The properties of the SIMU and LCR systems are compared and a merging of the two is performed. A statistical analysis of the crossover differences of the merged product yields an RMS error of 1.3 mGal. These results indicate that the properties of the two units are complementary and that a combination of the two can result in improved gravity estimates.
机译:在过去的二十年中,使用捷联惯性测量单元(SIMU)已生产重力航空重力测量估计可比传统的稳定平台单轴重力仪。面临的挑战是控制IMU传感器的长期漂移,传播到重力估算的长波长。这使得稳定平台的方式为大地测量应用的首选方法。在2016年夏天,在马来西亚的大型航空测量过程中,一个SIMU系统平列传统拉科斯特与容安澜(LCR)重力仪。该SIMU观测使用来自NovAtel的航点软件套件中的商业软件产品“惯性资源管理器” GNSS观测相结合,它展示了如何重力估计可以从这些结果中得出。的交叉的差异的统计分析产生2.5毫伽,这与从LCR重力仪所获得的结果的RMS误差。的SIMU和LCR系统的性能进行比较,并进行两者的合并。的合并产物的交叉差异的统计分析产生1.3毫伽的RMS误差。这些结果表明,这两个单元的特性是互补的,而且两者的组合可以导致改进的重力的估计。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号