Galileo三频非组合PPP相位小数偏差估计与模糊度解算OA
Fractional cycle bias estimation and ambiguity resolution for Galileo triple-frequency uncombined PPP
欧洲的Galileo目前已经有28颗在轨可用卫星,具备全球精密定位能力,并且所有卫星均能够播发多频信号,多频信号融合有望进一步改善精密单点定位(precise point positioning,PPP)模糊度固定解性能.本文研究了 Galileo三频非组合PPP相位小数偏差(fractional cycle bias,FCB)估计与模糊度解算(ambiguity resolution,AR)方法,并将其结果同双频非组合PPP模糊度固定解与浮点解结果进行了对比分析.结果表明:利用155个全球分布的地面跟踪站数据进行FCB估计,单个频率上的FCB估值序列标准差(standard deviation,STD)优于0.04周;双频PPP浮点解在E、N、U方向收敛时间分别为32.0 min、10.0 min、43.5 min,双频PPP固定解收敛时间分别减少到30.5 min、8.5 min、32.0 min,三频PPP固定解收敛时间分别进一步缩短到16.5 min、8.0 min、32.0 min.
Galileo already has 28 in-orbit satellites,with precise positioning capabilities on a global scale.All Galileo satellites are capable of broadcasting multi-frequency signals,and multi-frequency integration is expected to further improve the performance of precise point positioning(PPP)ambiguity-fixed solutions.In this paper,the fractional cycle bias(FCB)estimation method and ambiguity resolution(AR)method for Galileo triple-frequency uncombined(UC)PPP are developed,and the derived results are compared with those of dual-frequency UC PPP ambiguity-fixed and ambiguity-float solutions.The results indicate that the standard deviation(STD)of UC FCB series on a single frequency is better than 0.04 cycles using datasets from 155 globally distributed ground tracking stations.The convergence time of Galileo dual-frequency PPP float solutions in the east,north and up directions is 32.0 min,10.0 min and 43.5 min,respectively,and the corresponding statistic of dual-frequency PPP fixed solutions is reduced to 30.5 min,8.5 min and 32.0 min in the three directions,respectively.The convergence time of triple-frequency PPP fixed solutions is further shortened to 16.5 min,8.0 min and 32.0 min in the three directions,respectively.
熊博文;潘林;裴根;刘宁;章湘粤;邓民
中南大学地球科学与信息物理学院,长沙 410083
测绘与仪器
相位小数偏差(FCB)模糊度解算(AR)精密单点定位(PPP)三频信号Galileo
fractional cycle bias(FCB)ambiguity resolution(AR)precise point positioning(PPP)triple-frequency signalsGalileo
《全球定位系统》 2024 (003)
51-56 / 6
国家自然科学基金项目(41904030)
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