Unambiguous Tracking Technique Based on Combined Correlation Functions for Sine BOC Signals

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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“…where B L is the code loop filter bandwidth, σ v is the discriminator output standard deviation, and K v is the discriminator gain [19].…”

Section: The Code Tracking Error Analysismentioning

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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“…In order to remove the ambiguity threat, the proposed method construct an unambiguous discrimina-tor function by multiplying two correlation functions. There are three differences between the proposed method and those of [10] and [11]. Firstly, the proposed method can solve the ambiguity problem of cosine phased BOC signal, while both [10] and [11] are only applicable for sine phased BOC signals.…”

Section: Introductionmentioning

confidence: 98%

“…There are three differences between the proposed method and those of [10] and [11]. Firstly, the proposed method can solve the ambiguity problem of cosine phased BOC signal, while both [10] and [11] are only applicable for sine phased BOC signals. Secondly, the proposed method directly generates the unambiguous discriminator function instead of generating an unambiguous correlation function first and then realizing the unambiguous discriminator function by early minus late.…”

Section: Introductionmentioning

confidence: 98%

“…As a result, the performance of some methods is significantly worse when applied to BOCc signals than BOCs signals, such as the symmetrical pulse ambiguity removing (SPAR) technique [6], the method proposed by Shen Feng (SF) in [7], and PUDLL [8], which uses two local step-shaped waveforms. There are also some other methods that have good performance but are suitable for only BOCs signals, such as [1] and [9][10][11]. Compared with all the methods mentioned before, [10] and [11], which are previous works by our team, have obvious advantages in tracking accuracy and anti-multipath performance.…”

Section: Introductionmentioning

confidence: 99%

“…There are also some other methods that have good performance but are suitable for only BOCs signals, such as [1] and [9][10][11]. Compared with all the methods mentioned before, [10] and [11], which are previous works by our team, have obvious advantages in tracking accuracy and anti-multipath performance. However, they are suitable for only BOCs signals, and implementing the receiver costs a considerable amount.…”

Section: Introductionmentioning

confidence: 99%

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An Unambiguous Tracking Technique for Cosine-Phased BOC Signals with Low Complexity

Li¹,

Tang²,

Wei³

et al. 2018

RADIOENGINEERING

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A low-complexity unambiguous tracking method for cosine-phased binary offset carrier (BOCc) signals is proposed in this paper. The proposed method directly constructs a code discriminator function by multiplying two correlation functions. One local reference signal is a specifically designed auxiliary signal whose cross-correlation function with the BOCc signal is an unambiguous S-curve. The other reference signal is a replica BOCc signal whose correlation function with the BOCc signal is used as a "cover" to maintain the slope of the discriminant function as much as possible and to make the final discriminant function noncoherent. The proposed discriminator function has only a single main lock point and can make tracking reliable and unambiguous. In contrast to the traditional unambiguous early-minus-late methods, the proposed method needs only the prompt branch correlator outputs, and the correlation process of the BOCc signal with input signals is the same as that of the carrier loop process. As a result, the proposed method reduces the number of correlators by at least three-quarters. The theoretical analysis and simulation results show that the proposed method has higher code tracking accuracy, lower tracking threshold and better anti-multipath performance than those of PUDLL, SF and SPAR. In conclusion, the proposed method completely eliminates tracking ambiguity, significantly improves tracking performance and reduces implementation complexity.

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Unambiguous acquisition algorithm based on sub‐correlation functions combination for semi‐integer CPM signals

Xie,

Xue

2024

Electronics Letters

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Due to the nonlinear nature of continuous phase modulation (CPM), most existing unambiguous acquisition algorithms are ineffective in eliminating the ambiguity threat faced by semi‐integer CPM signals. To address this issue, this letter proposes an unambiguous acquisition algorithm based on sub‐correlation functions combination (SCFC). The main idea of this algorithm is to decompose the first pulse amplitude modulation waveform derived from the Laurent decomposition into sub‐signal waveforms that are appropriate for CPM signals. The final unambiguous function is obtained by combining the autocorrelation function of the received CPM signal with the sub‐correlation functions derived from the sub‐signal waveforms and the received CPM signal. Simulation results demonstrate that the SCFC algorithm can eliminate the ambiguity threat of semi‐integer CPM signals with relatively minor detection loss. Moreover, the proposed algorithm successfully retains a narrow main peak and exhibits superior multipath resistance.

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Unambiguous Tracking Technique Based on Combined Correlation Functions for Sine BOC Signals

Cited by 13 publications

References 19 publications

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

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

An Unambiguous Tracking Technique for Cosine-Phased BOC Signals with Low Complexity

Unambiguous acquisition algorithm based on sub‐correlation functions combination for semi‐integer CPM signals

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