An unambiguous acquisition algorithm for BOC modulated signals Based on weighting adjustment

Yang, Pengfei; Li, Yubai; Pan, Jun; Wang, Fei; Mao, Lei

doi:10.1109/icmsp53480.2021.9513340

Cited by 2 publications

(3 citation statements)

References 9 publications

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“…The MBOC signal has better multipath resistance than the BOC signal due to the addition of higher-order signals [18]. MBOC has various implementations of time-multiplexed binary offset carrier (TMBOC) [19], composite binary offset carrier (CBOC) [20], and quadrature multiplexed binary offset carrier (QMBOC) [21]. The current processing of the MBOC signal ignores the effect of high-frequency signals with small occupancy ratios and switches to tracking a single signal, as in [22], where the MBOC signal is treated as the BOC(1,1) signal.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Synchronization Algorithms for BOC Signals Based on Reconstructed Sub-Correlation Functions

Zhang

Sun

et al. 2023

Electronics

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Aiming at the ambiguous synchronization of binary offset carrier (BOC) and composite binary offset carrier (CBOC) modulation signals due to secondary peaks for Global Navigation Satellite System (GNSS), a reconstructed sub-correlation function synchronization algorithm (RSSA) for BOC and CBOC is proposed. The general autocorrelation subfunctions of BOC and CBOC are obtained by deriving the subfunctions of the cross-correlation function between BOC signals with different modulation orders. According to the characteristics of the subfunctions, the corresponding reconstruction rules are set to obtain the unambiguous correlation functions. To further reduce the complexity of the local auxiliary signal, a local auxiliary signal optimization algorithm (LASOA) is proposed based on RSSA, which only needs to generate a local two-level signal compared to the conventional CBOC local four-level signal. The simulations show that the two algorithms proposed in this paper reduce the amplitude of the side peaks of the normalized correlation peaks of BOC by at least 0.09 compared with the autocorrelation side-peak cancellation technique (ASPeCT), maintain a high detection probability, and the multipath error is smaller than that of the autocorrelation side-peak cancellation technique (ASPeCT) and other traditional algorithms. The phase discrimination curves show that the linear region slope gains of the two algorithms in this paper are above 2 dB compared with the ASPeCT and other conventional algorithms.

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Section: Introductionmentioning

confidence: 99%

Enhanced Synchronization Algorithms for BOC Signals Based on Reconstructed Sub-Correlation Functions

Zhang

Sun

et al. 2023

Electronics

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“…In [12], local auxiliary signals suitable for BOC(kn,n) signals are obtained by decomposing the local pseudo-random noise (PRN) code into multiple sub-PRN codes. Meng et al [13] proposed an unambiguous acquisition algorithm based on the ACF time-shift combination (ACFTSC). By multiplying the results of left and right time-shifted It is worth noting that the above unambiguous acquisition algorithms are designed for linearly modulated signals like BOC, without considering the application of non-linear modulation such as CPM.…”

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confidence: 99%

“…Simulation and results analysis: In this section, the effectiveness and detection performance of the proposed SCFC algorithm are verified by Monte Carlo simulation experiments. For comparison, the simulated simi-integer CPM signals are acquired by the traditional ambiguous acquisition algorithm (denoted as Traditional) [1], ACFTSC [13], and the proposed SCFC algorithm. The simulation parameters are as follows: intermediate frequency f IF is 4 MHz; the PRN code is 2046 Gold code; the PRN code period is 1 ms; the data bit rate is 1 kHz; the coherent accumulation time T coh is 1 ms; the number of non-coherent accumulation is K; the number of Monte Carlo simulations is 10000.…”

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confidence: 99%

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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An unambiguous acquisition algorithm for BOC modulated signals Based on weighting adjustment

Cited by 2 publications

References 9 publications

Enhanced Synchronization Algorithms for BOC Signals Based on Reconstructed Sub-Correlation Functions

Enhanced Synchronization Algorithms for BOC Signals Based on Reconstructed Sub-Correlation Functions

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

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