Abstract

The binary offset carrier (BOC) modulation, which has been adopted in modern global navigation satellite systems (GNSS), provides a higher spectral compatibility with BPSK signals, and better tracking performance. However, the autocorrelation function (ACF) of BOC signals has multiple peaks. This feature complicates the acquisition process, since a smaller time searching step is required, which results in longer searching time or greater amounts of hardware resources. Another problem is the high Nyquist frequency, which leads to high computational complexity and power consumption. In this paper, to overcome these drawbacks, the band-pass sampling technique for multiple signals is introduced to BOC signals. The sampling frequency can be reduced significantly. Furthermore, the ACF of the sampled signal has only two secondary peaks, so that the code phase can be searched with a larger searching step. An acquisition structure base on dual-loop is proposed, to completely eliminate the ambiguity and compensate the subcarrier Doppler. The acquisition performance and the computational complexity are also analysed.

Highlights

  • The binary offset carrier (BOC) modulation has been adopted in modernized global positioning system (GPS), EuropeanGalileo project, and China’s BeiDou-3

  • Of BOC(m,n)For signals is much wider than BPSK(n) signals, so that the Nyquist frequency is very high, a single-band signal, the range of f s is given by [12]: which results in a higher computational complexity

  • An significantly and only two secondary peaks remain in the autocorrelation function (ACF) of the sampled signal

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Summary

Introduction

The BOC modulation has been adopted in modernized global positioning system (GPS), European. The Pseudo-Correlation Function (PCF) [10] method constructs a single-peak ACF using a special designed reference signal. It will suffer from severe detection performance degradation for. The techniques mentioned above can remove the impact of the secondary peaks in the ACF, but they all process the upper and lower sidebands together, resulting in a high sampling frequency and computational complexity. The band-pass sampling technique [12,13,14,15,16] is introduced in BOC signal sampling to remove the secondary peaks, as well as to reduce the sampling frequency.

Dual-Sideband Model of BOC Signals
BOC Acquisition
Band-Pass Sampling Technique
Band-Pass Sampling for High-Order BOC Signals
Acquisition of Band-Pass
Detection Probability
Detection probabilities of different
Computational Complexity
Computational
Conclusions

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