Area-Efficient Universal Code Generator for GPS L1C and BDS B1C Signals

Park, Jiwoon; Kim, Minsu; Jo, Gwanghee; Yoo, Hyung-Joun

doi:10.3390/electronics10222737

Cited by 2 publications

(2 citation statements)

References 13 publications

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“…At present, the common outdoor positioning technology is satellite positioning through the Global Navigation Satellite System (GNSS), such as the United States Global Positioning System (GPS) and China's Beidou satellite navigation system and so on [4]. The positioning accuracy of the ordinary single-mode GNSS positioning method is usually about meters [5]. Using multi-mode satellite signals for positioning can obtain more stable positioning information, but it is also susceptible to environmental factors, resulting in a decrease in positioning accuracy [6].…”

Section: Introductionmentioning

confidence: 99%

Research on indoor and outdoor positioning switching algorithm based on improved PSO-BP

Zhao,

Wang,

Miao

et al. 2024

Meas. Sci. Technol.

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Aiming at the problems of poor positioning accuracy in the indoor and outdoor junction areas and the loss of positioning signals and discontinuous positioning results during the transition from the indoor area to the outdoor area, this paper proposes a machine learning method to solve the positioning problem in the indoor and outdoor junction areas and the switching problem of positioning methods. An indoor and outdoor positioning switching algorithm based on PSO-BP(Particle Swarm Optimization-Back Propagation, PSO-BP) and BP(Back Propagation, BP) neural network is designed. Through this algorithm, the position of the positioning tag can be judged independently and the coordinates of the positioning tag in the indoor and outdoor junction area can be predicted independently. The experimental results show that the accuracy of positioning area judgment based on PSO-BP neural network can reach 99.91%. The indoor and outdoor boundary area coordinates obtained by BP neural network prediction method are lower than the root mean square error of UWB(Ultra Wide Band, UWB) indoor positioning method and BDS(Beidou Navigation Satellite System, BDS)positioning method. The algorithm model proposed in this paper effectively improves the positioning problem of the indoor and outdoor junction area and the positioning problem of the transition from the indoor area to the outdoor area, improves the positioning accuracy and positioning stability of the indoor and outdoor junction area, reduces the positioning cost, and has strong practicability.

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Section: Introductionmentioning

confidence: 99%

Research on indoor and outdoor positioning switching algorithm based on improved PSO-BP

Zhao,

Wang,

Miao

et al. 2024

Meas. Sci. Technol.

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“…This method is employed for generating Galileo E1B/C and E6B/C signals. Currently, Weil codes are exclusively utilized in GNSS systems for generating GPS L1C and BDS B1C signals [8][9][10].…”

Section: Introduction To Spread Spectrum Codesmentioning

confidence: 99%

Design of Universal Code Generator for Multi-Constellation Multi-Frequency GNSS Receiver

Ba,

Liu,

Jiang

et al. 2024

Electronics

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A multi-constellation, multi-frequency Global Navigation Satellite System (GNSS) receiver is capable of simultaneously receiving signals from multiple satellite constellations across various frequency bands. This allows for increased observations, thereby enhancing navigation accuracy, continuity, effectiveness, and reliability. The spread spectrum code structures used in satellite navigation signals differ among systems. Compatible code generators are employed in multi-constellation, multi-frequency GNSS receivers to support tasks such as signal acquisition and tracking. There are three main types of spread spectrum code structures: Linear Feedback Shift Register (LFSR), Legendre sequences, and Memory codes. The Indian Regional Navigation Satellite System (IRNSS) released the L1-SPS (Standard Positioning Service) signal format in August 2023, which utilizes the Interleaved Z4-linear ranging code (IZ4 code) as its spread spectrum code. Currently, there is no universal code generator design compatible with the IZ4 code. In this paper, a proposed universal code generator is based on the hardware structure of the IRNSS IZ4 code generator. It achieves compatibility with all LFSR-based spread spectrum codes and enables parallel generation of multiple sets of GNSS signal spread spectrum codes, thereby improving hardware utilization efficiency. The proposed structure is implemented and validated using FPGA design, and resource consumption is provided as part of the validation results.

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Area-Efficient Universal Code Generator for GPS L1C and BDS B1C Signals

Cited by 2 publications

References 13 publications

Research on indoor and outdoor positioning switching algorithm based on improved PSO-BP

Research on indoor and outdoor positioning switching algorithm based on improved PSO-BP

Design of Universal Code Generator for Multi-Constellation Multi-Frequency GNSS Receiver

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