Abstract
A BOC signal has been widely used in the Global Navigation Satellite System (GNSS). Although the BOC signal has many advantages, the autocorrelation function (ACF) of the BOC signal has lots of peaks, which makes signal acquisition difficult. This paper proposes a similar enfoldment acquisition (SEA) algorithm, which can be applied to sin-BOC and cos-BOC signals, with even and odd modulation orders. The SEA algorithm utilizes the similarity between the main peak and the secondary peak to construct a new ACF to eliminate the ambiguity of the BOC signal. This paper simulates the acquisition performance of the SEA algorithm, Martin algorithm, and SCPC algorithm, while the simulation result shows that the SEA algorithm is superior to the Martin algorithm and SCPC algorithm. Since the SEA algorithm does not need filters or auxiliary signals, its complexity is lower than that of the Martin algorithm and SCPC algorithm.
Highlights
In recent years, the Global Navigation Satellite System (GNSS) has developed rapidly
A binary offset carrier (BOC) ðm, nÞ signal is obtained by Pseudorandom Noise (PRN) codes multiplied with rectangular subcarriers, where the PRN code rate is f n = n ∗ f0, the subcarrier frequency is f m = m ∗ f0, the reference frequency is f0 = 1:023 MHz, and the modulation order of the BOC signal is M = 2m/n
In order to eliminate the ambiguity of BOC signal autocorrelation function (ACF), plenty of methods have been proposed by scholars all over the world
Summary
The Global Navigation Satellite System (GNSS) has developed rapidly. In order to eliminate the ambiguity of BOC signal ACF, plenty of methods have been proposed by scholars all over the world. Algorithm is proposed to eliminate redundant edge peaks through a local auxiliary BPSK signal, whereas the ASPeCT method is only applicable to sin-BOC ðn, nÞ signals. A general removing ambiguity via side-peak suppression (GRASS), which uses a local auxiliary signal and is suitable for sin-BOC ðkn, nÞ signals, is proposed in [3]. Zhao et al propose an improved CCRW method for BOC signals with odd modulation coefficient [26] Another class of the multipath mitigation technique is the parameterization method such as that in [27], where the authors propose an averaging-FFT method, which achieves robustness for both low-order and high-order BOC signals well. It is necessary to research on an algorithm which can be applied to all BOC signals with low complexity
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