Open AccessZero‐bias mitigation method based on optimal correlation interval for digital code phase discriminator
Author(s) -
Ma Chunjiang,
Lv Zhicheng,
Tang Xiaomei,
Xiao Zhibin,
Sun Guangfu
Publication year - 2019
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.2019.0265
Subject(s) - discriminator , code (set theory) , algorithm , phase (matter) , zero crossing , computer science , signal (programming language) , interval (graph theory) , sampling (signal processing) , standard deviation , measure (data warehouse) , electronic engineering , mathematics , statistics , telecommunications , physics , engineering , detector , power (physics) , data mining , set (abstract data type) , quantum mechanics , combinatorics , programming language
In time synchronisation systems, the code phase of the spread spectrum signal is an important characteristic that can provide users with high‐precision and unambiguous observation results. However, digital code phase discriminators have limited sampling frequencies that distort the signal correlation peak and generates a zero‐bias code‐phase estimate. In this Letter, the authors evaluate and analyse the zero‐phase deviations of digital code phases. An optimal correlation interval design method, based on a code phase discriminator that can effectively suppress the zero‐crossing deviation, is also proposed. The simulation results show that the proposed algorithm can reduce the deviation of 96.5% and effectively improve the measurement accuracy of the code phase.