Improved synchronisation algorithm based on reconstructed correlation function for BOC modulation in satellite navigation and positioning system

Huagang, Xiong; Wang, Songhua; Gong, Shu; Peng, Meixuan; Shi, Junyu; Tang, Juan

doi:10.1049/iet-com.2017.0804

Cited by 29 publications

(24 citation statements)

References 30 publications

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“…Hence, it is important to make sure that main peak is tracked by receiver rather than side peaks. Many side‐peaks cancellation techniques have been investigated by removing the influence of the side lobe . However, these approaches usually need additional correlators and filters, which increases the hardware complexity .…”

Section: Unambiguous Correlation Functionmentioning

confidence: 99%

“…Many side-peaks cancellation techniques have been investigated by removing the influence of the side lobe. [16][17][18][19][20] However, these approaches usually need additional correlators and filters, which increases the hardware complexity. 21 Therefore, we propose a simple but efficient side-peaks cancellation technique by implementation of correlation of the received BOC modulated signal r(t) with local sine wave instead of traditionally used local square wave.…”

Section: Unambiguous Correlation Functionmentioning

confidence: 99%

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Unambiguous and precise correlation receiver for binary offset carrier modulated signal

Zhang

Zuo

2019

Int J Communication

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Summary The binary offset carrier (BOC) modulated signal can improve the positioning accuracy and increase the multipath resistance in global navigation satellite system (GNSS), and it may cause potential ambiguity in the process of signal acquisition and code tracking. In this paper, a simple but efficient unambiguous receiver is firstly proposed for multiple side‐peaks mitigation by implementing correlation of the received BOC signal with local sine wave instead of square wave used at the transmitter. Moreover, the potential degradation of sharpness of the nonlinear correlation induced by the sine wave is well compensated by optimizing the early‐to‐late spacing. The other reason leading to ambiguity is the multipath propagation, so we further propose a maximum likelihood (ML) estimator with Newton iteration method, where the received GNSS signal is modeled via the line‐of‐sight (LOS) component and the first‐arrived non‐line‐of‐sight (NLOS) component. Finally, the analytical expression of multipath propagation Cramer‐Rao bound is derived for the designed ML estimator. Simulation results indicate that compared with the conventional BOC modulation, the proposed sine wave receiver can achieve unambiguous and more precise code tracking performance and thus turns out to be more robust to multipath propagation.

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Section: Unambiguous Correlation Functionmentioning

confidence: 99%

Section: Unambiguous Correlation Functionmentioning

confidence: 99%

Unambiguous and precise correlation receiver for binary offset carrier modulated signal

Zhang

Zuo

2019

Int J Communication

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“…In Global Navigation Satellite System (GNSS) applications, the subcarrier introduced in binary offset carrier (BOC) modulations and used as a part of the signal code permits to use efficiently the allocated frequency bands and to improve, at the same time, the acquisition and tracking performances in presence of noise, multipath (MP), and narrowband interferences . However, these modulations are limited by the ambiguity problem in the acquisition and tracking processes caused by the presence of multiple zero‐crossing points in the discriminator function (DF) at the output of the delay‐locked loop (DLL) especially in unfavorable environment . As a result, the subcarrier has become a major source of performance degradation in the GNSS receivers .…”

Section: Introductionmentioning

confidence: 99%

Unambiguous method for DLL BOC signals tracking

Feneniche

Rouabah

Flissi

et al. 2020

Int J Communication

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In this paper, we propose an efficient method for eliminating ambiguity in the acquisition and tracking processes of binary offset carrier (BOC)-modulated signals. Our contribution is realized in two stages. The first one is based on the use, at the receiver end, of optimized locally generated subcarrier sequences to get a completely unambiguous composite correlation function (CF). This first stage is used to initialize and control the second stage of the proposed method designed on the basis of a maximum likelihood algorithm (MLA) to mitigate, specifically, multipath (MP) effect. In fact, the idea is to combine, in this second stage, the received signal (affected by noise and MP) with a set of locally generated ideal BOC(m,n)-modulated signals, which are delayed and weighted by the MLA-estimated parameters of delays, amplitudes, and phases of all the MP signals, to obtain an unambiguous CF with better performance. The simulation results, based on MATLAB tool, have demonstrated that the proposed method effectively eliminates the ambiguity problem. Besides, a comparative study with several methods has shown that the proposed method grants better performance than the most popular techniques. K E Y W O R D S

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“…In order to eliminate the ambiguity of BOC signal ACF, plenty of methods have been proposed by scholars all over the world. The main ideas are as follows: capturing the BOC signal with the acquisition method similar to the BPSK signal [2,[4][5][6][7][8], constructing auxiliary signals to eliminate the ambiguity of BOC signal ACF [3,[9][10][11][12][13][14][15][16], and constructing a filter to eliminate ambiguity of ACF [17]. Literature [5,6] (hereinafter referred to as the Fishman method) filters the upper (lower) sideband of the received signal and the local BOC code, respectively, and after that processes the upper (lower) sideband separately.…”

Section: Introductionmentioning

confidence: 99%

“…In Reference [13], the ambiguity of ACF is eliminated by two symmetrical auxiliary signals, which is applicable to all BOC ðm, nÞ signals. Other methods of constructing auxiliary signals can be referred to References [14][15][16]. In literature [17], a filter is constructed to process the ACF, and an unambiguous ACF is finally obtained.…”

Section: Introductionmentioning

confidence: 99%

BOC Signal Acquisition Algorithm Based on Similar Enfoldment

Han

Zhu

et al. 2020

International Journal of Aerospace Engineering

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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.

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Improved synchronisation algorithm based on reconstructed correlation function for BOC modulation in satellite navigation and positioning system

Cited by 29 publications

References 30 publications

Unambiguous and precise correlation receiver for binary offset carrier modulated signal

Unambiguous and precise correlation receiver for binary offset carrier modulated signal

Unambiguous method for DLL BOC signals tracking

BOC Signal Acquisition Algorithm Based on Similar Enfoldment

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