Open AccessSimple approach to determining parameters of noncommensurate sampling for optimal pseudo‐noise code phase delay discrimination
Author(s) -
Jin Xiaojun,
Xu Zhaobin,
Zhang Chaojie,
Jin Zhonghe
Publication year - 2014
Publication title -
electronics letters
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.375
H-Index - 146
eISSN - 1350-911X
pISSN - 0013-5194
DOI - 10.1049/el.2013.3184
Subject(s) - sampling (signal processing) , computer science , tracking (education) , ranging , code (set theory) , simple (philosophy) , algorithm , noise (video) , phase (matter) , chip , electronic engineering , control theory (sociology) , artificial intelligence , engineering , computer vision , telecommunications , psychology , pedagogy , philosophy , chemistry , control (management) , set (abstract data type) , filter (signal processing) , epistemology , organic chemistry , image (mathematics) , programming language
Noncommensurate sampling is an effective solution for improving the tracking performance of digital code tracking loops. So far there has been a lack of a generalised method for designing the parameters of this sampling scenario. A simple approach to choosing the parameters of noncommensurate sampling is presented, which is based on the analysis of the quantitative relationship among the chip phase delay discrimination, the sampling ratio and the correlation length. Numerical and simulation results show that optimal phase delay discrimination and thereby superior tracking accuracy can be achieved with the proposed approach. This approach is especially suitable for precision ranging applications, and can be extended to other applications involving accurate signal tracking in digital equipment.