摘要: |
为了评估北斗三频观测值在短基线RTK应用中的定位性能,采用Kalman滤波模型进行动态环境下北斗三频模糊度固定,经实测数据验证,动态环境下北斗三频RTK只需1个历元即可得到固定解,模糊度成功率较GPS双频和BDS双频分别提高了15.0%和14.1%,验证了我国北斗三频信号在短基线RTK定位中的优越性能。 |
关键词: 三频 动态 RTK Kalman 滤波 |
DOI: |
|
基金项目:国家自然科学基金资助项目(41074008);水利部公益性行业科研专项经费资助项目(201401072) |
|
Research on RTK Positioning with BDS Triple-frequency Observations |
ZHAO Le-wen,YE Shi-rong,ZHANG Tai-xin,YUAN Bing |
(Research Center of GNSS, Wuhan University) |
Abstract: |
To assess the positioning performance of BeiDou triple-frequency observations in short baseline RTK applications, the Kalman filter model is proposed to fix the ambiguity of triple-frequency observations in dynamic environments. The results show that the fixed solution can be obtained by single epoch, and the ambiguity reliability is improved by 15.0% and 14.1% compared with that the GPS and BDS dual-frequency observations. |
Key words: Triple-frequency Dynamic RTK Kalman filter |