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Towards Single Epoch Ambiguity Resolution with Galileo Multiple Frequency using Improved Cascading Ambiguity Resolution (CAR) Method

机译:使用改进的级联模糊分辨率(CAR)方法对伽利略多频进行单次跨跨度分辨率

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摘要

The GPS modernization and the European Galileo system will provide signals in three and four frequency bands. When more carrier-phase bands are available, more frequency combinations with longer equivalent wavelengths can be formed. If carrier phase ambiguity can be resolved quickly, the carrier phase measurements are eventually converted to 'pseudorange' type measurements, but with much higher measurement precision. The Cascade Ambiguity Resolution (CAR) method and Integer Least Squares (ILS) are two methods which are widely used for ambiguity resolution with multiple frequencies. In this paper, we propose an improved CAR method for multiple frequency ambiguity resolution. Instead of directly using combination measurements in mathematical model like CAR method, original carrier phase measurements are used. Also, we have established a uniformed model for both short and long baseline ambiguity resolution. Based on simulated data and optimal combinations, ambiguity resolution performance with the improved CAR is investigated and compared with ILS method. It has shown that the performance of the new method is better than ILS method in terms of time required for ambiguity resolution and mis-fixing rate. The results demonstrate that it is possible to resolve ambiguity every epoch if the measurement noise is less than 6 mm.
机译:GPS现代化和欧洲伽利略系统将在三个频带中提供信号。当有更多的载波相位带可用时,可以形成具有较长等效波长的更多频率组合。如果可以快速解决载波相位模糊性,则载波相位测量最终将转换为“伪距”型测量,但具有更高的测量精度。级联歧义分辨率(CAR)方法和整数最小二乘(ILS)是两种方法,广泛用于具有多个频率的模糊分辨率。在本文中,我们提出了一种改进的汽车方法,用于多个频率模糊分辨率。而不是在数学模型中直接使用像汽车方法的数学模型,使用原始载波相位测量。此外,我们已经为短期和长期基线模糊分辨率建立了一个均匀的模型。基于模拟数据和最佳组合,研究了具有改进的汽车的模糊分辨率性能,并与ILS方法进行了比较。已经表明,在模糊分辨率和错误定影率所需的时间方面,新方法的性能优于ILS方法。结果表明,如果测量噪声小于6毫米,则可以每次时代解析模糊性。

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