Analysis of anti-multipath performance based on traditional acquisition algorithm of boc signal

Ji, Yuanfa and Song, Sisi and Sun, Xiyan and Kamarul Hawari, Ghazali and Zhao, Songke (2022) Analysis of anti-multipath performance based on traditional acquisition algorithm of boc signal. In: 2022 IEEE 5th International Conference on Artificial Intelligence and Big Data, ICAIBD 2022 , 27-30 May 2022 , Virtual, Chengdu. pp. 455-458. (180907). ISBN 978-166549913-2

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Abstract

At present, multipath interference is still an inevitable natural influencing factor for high-precision navigation and positioning. The signal transmitted by the satellite is reflected and refracted by the interference of the surrounding environment, which will cause certain error interference to the phase and pseudorange of the direct wave signal. In order to analyze the degree of interference caused by multipath errors in the signal acquisition process, and compare the anti-multipath performance advantages of the acquisition algorithm. In this paper, starting from the formation principle of multipath signals. Based on the analysis of the code loop phase detector technology of incoherent lead minus lag (EML), the MATLAB simulation analysis platform is built, and then The comparison and simulation experiment of multipath error of sine BOC modulation signal and cosine BOC modulation signal is carried out for two traditional acquisition algorithms which are ASPeCT acquisition algorithm and SCPC acquisition algorithm. The simulation results show that the anti-multipath performance of the ASPeCT acquisition algorithm is better than that of the SCPC algorithm.

Item Type:	Conference or Workshop Item (Lecture)
Additional Information:	Indexed by Scopus
Uncontrolled Keywords:	ASPeCT; Binary offset carrier (BOC); EML; Multipath interference; SCPC
Subjects:	T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division:	College of Engineering Faculty of Electrical and Electronic Engineering Technology
Depositing User:	Mr Muhamad Firdaus Janih@Jaini
Date Deposited:	29 Nov 2023 04:35
Last Modified:	29 Nov 2023 04:35
URI:	http://umpir.ump.edu.my/id/eprint/39430
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