A novel acquisition algorithm based on two-dimensional delay estimation for BOC signals

Pan, Yi; Zhang, Tianqi; Zhang, Gang; Luo, Zhiyong

doi:10.1016/j.phycom.2019.100875

Cited by 2 publications

(3 citation statements)

References 13 publications

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“…When the signal is split into NC groups, the expression of the xth segment signal can be expressed as shown in Equation (7). T NC = T c /NC.…”

Section: General Subfunctions and Reconstruction Rules About The Rssamentioning

confidence: 99%

“…Compared to the conventional binary phase-shift keying (BPSK) [4] modulation, BOC and MBOC have a better narrow autocorrelation function and resistance to multipath; due to these advantages, BOC and MBOC signals are widely used in GPS, Galileo, and other systems [5,6]. The correlation functions (CF) of BOC and MBOC have secondary peaks, leading to the problem of signal synchronization with ambiguity [7]. The current research of domestic and foreign scholars focuses on solving the ambiguity problem during signal synchronization and improving its anti-multipath performance.…”

Section: Introductionmentioning

confidence: 99%

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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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“…When the signal is split into NC groups, the expression of the xth segment signal can be expressed as shown in Equation (7). T NC = T c /NC.…”

Section: General Subfunctions and Reconstruction Rules About The Rssamentioning

confidence: 99%

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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“…Kinect Basic Description and Related Algorithms. Kinect 3D imaging technology, like many other emerging imaging technologies, was originally believed to be directly derived from the national military application field [15]. With the rapid development of national information and industrial modernization, the important application and potential of Kinect 3D imaging technology have improved in various fields gradually.…”

Section: Theoretical Basismentioning

confidence: 99%

Kinect-Based Real-Time Acquisition Algorithm of Crop Growth Depth Images

Shan

Mei

et al. 2021

Mathematical Problems in Engineering

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Kinect 3D sensing real-time acquisition algorithm that can meet the requirements of fast, accurate, and real-time acquisition of image information of crop growth laws has become the trend and necessary means of digital agricultural production management. Based on this, this paper uses Kinect real-time image generation technology to try to monitor and study the depth map of crop growth law in real time, use Kinect to obtain the algorithm of crop growth depth map, and conduct investigation and research. Real-time image acquisition research on crop growth trends provides a basis for in-depth understanding of the application of Kinect real-time image generation technology in research. Kinect image real-time acquisition algorithm is a very important information carrier in agricultural information engineering. The research results show that the real-time Kinect depth image acquisition algorithm can obtain good 3D image data information and can provide valuable data basis for the 3D reconstruction of the later crop growth model, growth status analysis, and real-time monitoring of crop diseases. The data shows that, using Kinect, the real-time feedback speed of crop growth observation can be increased by 45%, the imaging accuracy is improved by 37%, and the related operation steps are simplified by 30%. The survey results show that the crop yield can be increased by about 12%.

show abstract

A novel acquisition algorithm based on two-dimensional delay estimation for BOC signals

Cited by 2 publications

References 13 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

Kinect-Based Real-Time Acquisition Algorithm of Crop Growth Depth Images

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