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Development and testing of an L1 combined GPS-Galileo software receiver.

机译：L1组合GPS-Galileo软件接收器的开发和测试。

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摘要

The GPS L1 signal is being augmented by L1C and the European GNSS Galileo is under development. The GPS L1C and Galileo L1 signals use a common design and in particular a MBOC modulation. This dissertation investigates combined acquisition and tracking algorithms for GPS and Galileo signals in the L1 band.In term of signal acquisition, different algorithms are developed to take advantage of these new signals. Each algorithm is characterized using real data and from a statistical point of view with a focus on the false alarm and detection probabilities and the mean acquisition time. Techniques using 16 ms of incoming signal show 2--6 dB higher deflection coefficients compared to using only 8 ms of signal, but also require a higher computational load and thus the choice of the algorithm should depend on the receiver's operating conditions. An acquisition that combines the different signals (GPS L1 C/A and L1C or Galileo) is also developed and tested using the aforementioned software simulator. The combined acquisition succeeds to acquire the signal at low C/N0, whereas the acquisition using the L1C data channel only fails.For tracking, a method to combine different signals (GPS L1 C/A and L1C or Galileo) before the discriminator is developed. This method shows better performance than the traditional tracking using only one signal. Then, a method for simultaneous tracking of the GPS L1 C/A and L1C signals using a Kalman filter approach is developed and found to be preferred over traditional methods. A novel Kalman filter capable of combining and simultaneously tracking the L1 C/A and L1C signal is introduced. Testing with the software signal simulator showed that this approach improves performance of tracking in terms of accuracy and sensitivity compared to the C/A-only Kalman filter and the traditional tracking in various dynamic modes, with and without oscillator errors and at low and high signal power.Since these signals are not yet being broadcast, a software signal simulator able to simulate GPS L1 C/A, GPS L1C (pilot and data channels) and Galileo L1 (pilot and data channels) is first developed. The simulator is able to simulate white noise, different types of interference and various types of receiver oscillators. A new oscillator model was developed for the latter.
机译：L1C正在增强GPS L1信号，欧洲GNSS Galileo正在开发中。 GPS L1C和Galileo L1信号使用通用设计，尤其是MBOC调制。本文研究了L1频段GPS和伽利略信号的组合捕获和跟踪算法。在信号捕获方面，开发了各种算法来利用这些新信号。每种算法都使用真实数据进行表征，并从统计角度着眼于虚假警报和检测概率以及平均采集时间。与仅使用8 ms的信号相比，使用16 ms的输入信号的技术显示出更高的偏转系数2--6 dB，但是还需要更高的计算负荷，因此算法的选择应取决于接收器的工作条件。还使用上述软件模拟器开发并测试了组合了不同信号（GPS L1 C / A和L1C或Galileo）的采集。组合采集成功地采集了低C / N0的信号，而使用L1C数据通道的采集仅失败了。为了进行跟踪，一种在开发鉴别器之前组合不同信号（GPS L1 C / A和L1C或Galileo）的方法。与仅使用一个信号的传统跟踪相比，该方法显示出更好的性能。然后，开发了一种使用卡尔曼滤波器方法同时跟踪GPS L1 C / A和L1C信号的方法，发现该方法优于传统方法。介绍了一种新颖的卡尔曼滤波器，它能够组合并同时跟踪L1 C / A和L1C信号。使用软件信号模拟器进行的测试表明，与仅使用C / A的卡尔曼滤波器和传统的在各种动态模式下（有无振荡器误差以及高低信号时）的跟踪相比，该方法在准确性和灵敏度方面提高了跟踪性能。由于尚未广播这些信号，因此首先开发了能够模拟GPS L1 C / A，GPS L1C（飞行员和数据通道）和Galileo L1（飞行员和数据通道）的软件信号模拟器。该模拟器能够模拟白噪声，不同类型的干扰以及各种类型的接收器振荡器。为后者开发了新的振荡器模型。

著录项

  • 作者

    Macchi, Florence.;

  • 作者单位

    University of Calgary (Canada).;

  • 授予单位 University of Calgary (Canada).;
  • 学科 Engineering Aerospace.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 294 p.
  • 总页数 294
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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