Codes cross-correlation analysis and data/pilot code pairs optimization for Galileo E1 OS and GPS L1C |
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Authors: | ,
Yang Zaixiu
,
Huang Zhigang
,
Geng Shengqun |
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Institution: | School of Electronic and Information Engineering, Beihang University, Beijing 100191, China |
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Abstract: | The Galileo E1 open service (OS) and the global positioning system (GPS) L1C are intending to use the multiplexed binary offset carrier (MBOC) modulation in E1/L1 band, including both pilot and data components. The impact of data and pilot codes cross-correlation on the distortion of the discriminator function (i.e., the S-curve) is investigated, when only the pilot (or data) components of MBOC signals are tracked. It is shown that the modulation schemes and the receiver configuration (e.g., the correlator spacing) strongly affect the S-curve bias. In this paper, two methods are proposed to optimize the data/pilot code pairs of Galileo E1 OS and GPS L1C. The optimization goal is to obtain the minimum average S-curve bias when tracking only the pilot components a the specific correlator spacing. Figures of merit, such as S-curve bias, correlation loss and code tracking variance have been adopted for analyzing and comparing the un-optimized and optimized code pairs. Simulation results show that the optimized data/pilot code pairs could significantly mitigate the intra-channel codes cross-correlation, and then improve the code tracking performance of MBOC signals. |
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Keywords: | Code cross-correlation Code pair optimization Galileo Global positioning system Multiplexed binary offset carrier S-curve bias |
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