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Pseudo-Range Single Point and Differential Positioning Accuracy Test Based on Android Smartphone

机译:基于Android智能手机的伪距单点和差分定位精度测试

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In the era of the Internet of Everything, providing high-precision location services for the public is one of the key directions for the future development of surveying and mapping science. Under this background, Google opened the APIs of Android intelligent terminal to obtain GNSS raw data in 2016. Based on this, this paper mainly explains how to obtain the GNSS raw data of Android smartphone, and uses the Huawei P10 and Xiaomi 8 smart-phones installed with self-developed real-time positioning APP to positioning test and analysis accuracy of single-frequency pseudo-range single-point, dual-frequency pseudo-range single point and pseudo-range differential positioning. The problem of inconsistent pseudo-range and carrier phase data in the GNSS raw data of the smartphone is considered to be caused by different clocks of the smartphone; Although there is an inconsistency problem, the positioning accuracy of the smartphone can be improved by the carrier phase smoothing method; In the case of no smoothing, the differential positioning effect is limited due to excessive noise of the pseudo-range; When the carrier phase is smoothed 10-30 times, the pseudo-distance difference method can be used to improve the plane accuracy of Huawei P10 by 10-30%, the plane accuracy of Xiaomi 8 can be increased by 20-40%, and the elevation direction can be increased by 60-70%. Finally, when smoothing 30 epochs for differential positioning, the RMSE in P10 plane positioning is ±3.9 m, the elevation is ±4.3 m, the RMSE in the plane positioning of Xiaomi 8 is ± 1.1 m, and the elevation is ± 1.4 m. Although the dual-frequency de-ionospheric combination of Xiaomi 8 can effectively eliminate the influence of the ionosphere, it can't effectively improve the positioning accuracy because it can amplify the noise by 2.59 times, which needs further analysis.
机译:在万物互联时代,为公众提供高精度的定位服务是测绘科学未来发展的关键方向之一。在这种背景下,谷歌于2016年开放了Android智能终端的API获取GNSS原始数据。在此基础上,本文主要介绍了如何获取Android智能手机的GNSS原始数据,并使用了华为P10和小米8智能手机。安装了自行开发的实时定位APP,可以对单频伪距单点,双频伪距单点和伪距差分定位进行定位测试和分析精度。智能手机的GNSS原始数据中伪距和载波相位数据不一致的问题被认为是由智能手机的不同时钟引起的。尽管存在不一致的问题,但是可以通过载波相位平滑方法来提高智能手机的定位精度。在不进行平滑的情况下,由于伪距的过多噪声而限制了差分定位效果。当载波相位平滑10-30倍时,可以使用伪距离差法将Huawei P10的平面精度提高10-30%,将小米8的平面精度提高20-40%,并且仰角方向可以增加60-70%。最后,当平滑30个历元以进行差分定位时,P10平面定位的RMSE为±3.9 m,高程为±4.3 m,小米8平面定位的RMSE为±1.1 m,高程为±1.4 m。尽管小米8的双频去电离层组合可以有效消除电离层的影响,但由于可以将噪声放大2.59倍,因此无法有效提高定位精度,这需要进一步分析。

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