New Communications Service for Aiding Deep Indoor Localization

被引:0
|
作者
Schmid, Andreas
机构
来源
WPNC: 2009 6TH WORKSHOP ON POSITIONING, NAVIGATION AND COMMUNICATION, PROCEEDINGS | 2009年
关键词
Indoor Positioning; Cross-correlation Mitigation; Weak Signal Acquisition;
D O I
10.1109/WPNC.2009.4907806
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The success of navigation services in the mass consumer market will depend greatly on the service availability in urban canyons and moderate indoor environments. just extending the observation period does not help when some satellite signals are stronger than others. This paper provides a new solution that arises with the introduction of the new two-tiered spreading codes for future Galileo and modernized GPS signals. The paper illustrates a new communications service that utilizes the secondary spreading codes of the new Galileo and GPS signals to circumvent the cross-correlation problem. The communications service aligns the secondary codes such that they are orthogonal over only a partial code period.
引用
收藏
页码:71 / 76
页数:6
相关论文
共 50 条
  • [41] PhaseFi: Phase Fingerprinting for Indoor Localization with a Deep Learning Approach
    Wang, Xuyu
    Gao, Lingjun
    Mao, Shiwen
    2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM), 2015,
  • [42] A Deep Learning based Scene Recognition Algorithm for Indoor Localization
    Labinghisa, Boney
    Lee, Dong Myung
    3RD INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE IN INFORMATION AND COMMUNICATION (IEEE ICAIIC 2021), 2021, : 167 - 170
  • [43] CSI Phase Fingerprinting for Indoor Localization With a Deep Learning Approach
    Wang, Xuyu
    Gao, Lingjun
    Mao, Shiwen
    IEEE INTERNET OF THINGS JOURNAL, 2016, 3 (06): : 1113 - 1123
  • [44] A Deep Feature Aggregation Network for Accurate Indoor Camera Localization
    Xie, Tao
    Dai, Kun
    Wang, Ke
    Li, Ruifeng
    Wang, Jiahe
    Tang, Xinyue
    Zhao, Lijun
    IEEE ROBOTICS AND AUTOMATION LETTERS, 2022, 7 (02) : 3687 - 3694
  • [45] Deep CNN for Indoor Localization in IoT-Sensor Systems
    Njima, Wafa
    Ahriz, Iness
    Zayani, Rafik
    Terre, Michel
    Bouallegue, Ridha
    SENSORS, 2019, 19 (14)
  • [46] Camera-Based Localization for Indoor Service Robots using Pictographs
    Hirose, Kei
    Chugo, Daisuke
    Yokota, Sho
    Takase, Kunikatsu
    2011 IEEE/ASME INTERNATIONAL CONFERENCE ON ADVANCED INTELLIGENT MECHATRONICS (AIM), 2011, : 924 - 929
  • [47] ArPico: Using Pictures to Build Localization Service for Indoor IoT Applications
    Meng, Yu
    Lin, Kwei-Jay
    Peng, Bingnan
    Tsai, Bolun
    Shih, Chih-Sheng
    2018 IEEE 11TH CONFERENCE ON SERVICE-ORIENTED COMPUTING AND APPLICATIONS (SOCA), 2018, : 105 - 112
  • [48] Towards Ubiquitous Indoor Localization Service Leveraging Environmental Physical Features
    Tian, Yang
    Gao, Ruipeng
    Bian, Kaigui
    Ye, Fan
    Wang, Tao
    Wang, Yizhou
    Li, Xiaoming
    2014 PROCEEDINGS IEEE INFOCOM, 2014, : 55 - 63
  • [49] TEXT COMMUNICATIONS - NEW PUBLIC TELECOMMUNICATIONS SERVICE
    CRAMER, B
    ELECTRICAL COMMUNICATION, 1977, 52 (03): : 223 - 227
  • [50] Communications as a cloud service: A new take on telecoms
    Jellema, Bart
    Vorwerk, Marc
    Ericsson Review (English Edition), 2014, 91 (02): : 4 - 11