版权所有:内蒙古大学图书馆 技术提供:维普资讯• 智图
内蒙古自治区呼和浩特市赛罕区大学西街235号 邮编: 010021
作者机构:Guilin Univ Elect Technol Coll Informat & Commun Guilin Peoples R China Guilin Univ Elect Technol Guilin Peoples R China Xidian Univ Coll Elect Engn Xian Peoples R China
出 版 物:《IEICE TRANSACTIONS ON COMMUNICATIONS》 (电子情报通信学会汇刊,英文版,B:通信)
年 卷 期:2014年第E97B卷第6期
页 面:1157-1165页
核心收录:
学科分类:0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术(可授工学、理学学位)] 08[工学]
基 金:National Natural Science Foundation of China [61062003, 61162007, 61271284, 61261033] Guangxi Key Lab of Wifeless Wideband Communication & Signal Processing Foundation Guangxi Natural Science Foundation [2013GXNSFA019004]
主 题:CBOC Galileo auto-correlation function ambiguity-removing acquisition Monte Carlo simulation
摘 要:The composite binary offset carrier (CBOC) modulated signal contains multi-peaks in its auto-correlation function, which brings ambiguity to the signal acquisition process of a GNSS receiver. Currently, most traditional ambiguity-removing schemes for CBOC signal acquisition approximate CBOC signal as a HOC signal, which may incur performance degradation. Based on Galileo El CBOC signal, this paper proposes a novel adaptive ambiguity-removing acquisition scheme which doesn t adopt the approximation used in traditional schemes. According to the energy ratio of each sub-code of CBOC signal, the proposed scheme can self-adjust its local reference code to achieve unambiguous and precise signal synchronization. Monte Carlo simulation is conducted in this paper to analyze the performance of the proposed scheme and three traditional schemes. Simulation results show that the proposed scheme has higher detection probability and less mean acquisition time than the other three schemes, which verify the superiority of the proposed scheme.