Abstract
The multiple peaks characteristic of binary offset carrier (BOC) autocorrelation function (ACF) makes ambiguity easy to be generated. There are some methods to eliminate ambiguity, but for higher-order BOC Signal, it will sacrifice signal energy or cannot maintain narrow correlation. This paper studies these problems. According to the idea of GRASS algorithm shape code, this paper proposes an unambiguous tracking algorithm, Sub Cross-correlation Shift Technique (SCST), which is suitable for BOC(m,n) signals. The key to this algorithm is to generate a new cross-correlation function between the BOC signal and the PRN code based on the shape code. The new cross-correlation function is linearly combined with the autocorrelation function of the BOC signal to remove sub-peak interference and achieve high-accuracy tracking. The phase discrimination function is given, and the effectiveness of the tracking algorithm is analyzed theoretically. The disadvantage of this method is that it needs multilevel storage, which will bring extra resource consumption to the receiver. For comparison, Unit Correlation, ASPeCT, GRASS, and the algorithm proposed by Yan are proposed. Experiments show that SCST can completely remove the side peak, and the phase discriminator output has only two main peaks, which successfully eliminates the false lock point. The multipath error envelope has only one and the smallest area. In terms of code tracking accuracy, for a BOC(10,5) signal with a received signal-to-noise ratio (SNR) of −28 dB, SCST is less than 45.8%, 67.5%, and 12.2% of the Unit Correlation, GRASS, and Yan proposed algorithms.
Highlights
In recent years, with the development of radio technology, radar, communications and Global Navigation Satellite System (GNSS) have been vigorously developed
Compared with the tracking method proposed by Unit Correlation, Autocorrelation Side-Peak Cancellation Technique (ASPeCT), General Removing Ambiguity via Side-peak Suppression (GRASS) and Yan et al (2015a), the simulation results show that the proposed method can completely remove the ambiguity problem and significantly improve the tracking accuracy and anti-multipath ability
In terms of code tracking accuracy, for a binary offset carrier (BOC)(10,5) signal with a received signal-to-noise ratio (SNR) of -28 dB, Sub Cross-correlation Shift Technique (SCST) is less than 45.8%, 67.5%, and 12.2% of the Unit Correlation, GRASS, and Yan proposed algorithms
Summary
With the development of radio technology, radar, communications and Global Navigation Satellite System (GNSS) have been vigorously developed. This paper proposes a Sub Cross-correlation Shift Technology (SCST) unambiguity tracking algorithm This method draws on the idea of defining the shape code vector by GRASS [21] to generate a new local auxiliary code, delays and linearly combines the obtained cross-correlation function, and multiplies the new correlation function by the BOC signal autocorrelation function to get a combined correlation function without sub-peak. According to the literature [21], the shape code vector of the PRN code can be defined as d = [1 1 1 1 · · · 1]N , where N is the modulation order of the received BOC signal. The peak value of the main peak will become smaller This problem is caused by the deterioration of the correlation between the auxiliary code and the BOC signal.
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