Ambiguity Mitigating Technique for Cosine-Phased Binary Offset Carrier Signal

Zhou, Yanling; Hu, Xiulin; Tang, Ke; Tang, Zirong

doi:10.1109/twc.2012.041612.110531

Cited by 22 publications

(10 citation statements)

References 6 publications

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“…Δ f , Δτ, Δϕ refer the frequency wipe-off error, the code delay and carrier phase estimation errors, respectively. Since n I j ,i and n Q j ,i are generated by the same noise process, its probability density function (pdf) follows a Gaussian distribution [10]. Therefore, at a code delay of Δτ, the joint distribution of the four branches is…”

Section: Proposed Methods Descriptionmentioning

confidence: 99%

“…Here, we use Monte Carlo simulations to analyze the acquisition performance and assume that the Doppler frequency error and code delay error are small [10]. Meanwhile, the noise is generated using (20).…”

Section: Proposed Methods Descriptionmentioning

confidence: 99%

“…Sidepeak cancellation techniques [9]- [16] are based on the combination of constitutive sub-correlations of the BOC autocorrelation function. A General Removing Ambiguity via Side peak Suppression (GRASS) technique is proposed in [9] for sine-BOC(kn, n) signal and in [10] for cosine-BOC(kn, n) signal, which can suppress all of the undesired side peaks by combining the cross-correlation function between the received signal and the local auxiliary signal with the ACF of the received signal. However, the method in [10] presents high implementation complexity because of its residual two positive side peaks, which need to be calculated previously under different frond-end bandwidth.…”

Section: Introductionmentioning

confidence: 99%

“…A General Removing Ambiguity via Side peak Suppression (GRASS) technique is proposed in [9] for sine-BOC(kn, n) signal and in [10] for cosine-BOC(kn, n) signal, which can suppress all of the undesired side peaks by combining the cross-correlation function between the received signal and the local auxiliary signal with the ACF of the received signal. However, the method in [10] presents high implementation complexity because of its residual two positive side peaks, which need to be calculated previously under different frond-end bandwidth. A Pseudo-CorrelationFunction (PCF)-based method presented in [12] does not have any side peaks and can completely remove all of the false lock points on the discriminator output.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Unambiguous Acquisition and Tracking Technique for General BOC Signals

Cheong¹,

Feng²,

Shen³

et al. 2015

RADIOENGINEERING

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Section: Proposed Methods Descriptionmentioning

confidence: 99%

Section: Proposed Methods Descriptionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Unambiguous Acquisition and Tracking Technique for General BOC Signals

Cheong¹,

Feng²,

Shen³

et al. 2015

RADIOENGINEERING

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show abstract

“…Among them, P is the total power of the received signal, D(t) is the navigation data code, S BOC (t) is defined in Equation 6, f IF is the intermediate frequency after down-converting the received signal, ϕ 0 is the initial phase of the carrier. n(t) is Band-limited white noise [16], and it has the zero mean and double-sided power spectrum density N 0 .…”

Section: Discriminator Function and Tracking Loop Structurementioning

confidence: 99%

Unambiguous Acquisition/Tracking Technique Based on Sub-Correlation Functions for GNSS Sine-BOC Signals

Fang

Gan

et al. 2020

Sensors

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The autocorrelation function (ACF) of the Binary Offset Carrier modulation (BOC) signal for Global Navigation Satellite System (GNSS) has multiple peaks, ambiguity is easily generated during the synchronization of the baseband signal. Some methods have been proposed to remove the ambiguity, but the performance is not suitable for high-order BOC signals or does not maintain narrow correlation characteristics. This paper proposes a sub-function reconstruction synchronization algorithm to solve this problem, of which the key is to design a new local auxiliary code: the local Pseudo-Random Noise (PRN) code is divided into several new codes with different delays. The auxiliary code performs a coherent integration operation with the received signal. Then, a correlation function without any positive side peaks is obtained by multiplying the two correlation results to make the acquisition/tracking completely unambiguous. The paper gives a design scheme of navigation signal acquisition/tracking and deduces the theoretical analysis of detection performance. The phase discrimination function is provided. The performance of the method is analyzed from both theoretical and simulation aspects. Compared with the Binary phase shift keying-like (BPSK-LIKE) method, Subcarrier Phase Cancellation (SCPC) method and the Autocorrelation Side-Peak Cancellation Technique (ASPeCT) method, the proposed method has the best detection probability for the acquisition, which is 0.5 dB-Hz better than ASPeCT. For tracking, the proposed method performs best in terms of phase-detection curve, anti-multipath performance, and anti-noise performance. For high-order BOC signals, the SRSA technique successfully removes the false lock points, and there is only one multipath error envelope, and the code tracking error is almost the same as the ASPeCT method.

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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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Ambiguity Mitigating Technique for Cosine-Phased Binary Offset Carrier Signal

Cited by 22 publications

References 6 publications

Unambiguous Acquisition and Tracking Technique for General BOC Signals

Unambiguous Acquisition and Tracking Technique for General BOC Signals

Unambiguous Acquisition/Tracking Technique Based on Sub-Correlation Functions for GNSS Sine-BOC Signals

Unambiguous and precise correlation receiver for binary offset carrier modulated signal

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