Towards Accurate Acoustic Localization on a Smartphone

被引:0
|
作者
Liu, Kaikai [1 ]
Liu, Xinxin [1 ]
Xie, Lulu [1 ]
Li, Xiaolin [1 ]
机构
[1] Univ Florida, Gainesville, FL 32611 USA
关键词
D O I
暂无
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
Since our daily activities are dominantly indoor, as smartphones emerge as the most popular personal computing companions, major IT companies recently launched aggressive investment on mobile indoor location services and positioning systems, e. g., on iOS or Android mobile devices. However, one major hurdle has not been conquered yet: smartphone-based high-resolution indoor localization. In this paper, we propose a practical solution for accurate ranging and localization based on acoustic communication between anchor nodes with speakers and the microphone on a smartphone. To identify different anchor nodes and enable time-of-arrival (TOA) ranging, we propose approaches for signal modulation, symbol detection and demodulation, synchronization and ranging. Experimental results show that the communication bit-error-rate and ranging accuracy is sufficient for our target applications. The preliminary results of localization demonstrate that our algorithm could achieve high-accuracy of 23cm in the offline mode with a promising potential for realtime smartphone-based indoor localization.
引用
收藏
页码:495 / 499
页数:5
相关论文
共 50 条
  • [41] Visual-Inertial-Acoustic Sensor Fusion for Accurate Autonomous Localization of Underwater Vehicles
    Huang, Yupei
    Li, Peng
    Ma, Shaoxuan
    Yan, Shuaizheng
    Tan, Min
    Yu, Junzhi
    Wu, Zhengxing
    IEEE TRANSACTIONS ON CYBERNETICS, 2025, 55 (02) : 880 - 896
  • [42] Bat with Good Eyesight: Using Acoustic Signal and Image to Achieve Accurate Indoor Localization
    Xi, Rui
    Li, Yujun
    Liu, Daibo
    Luo, Siwei
    Hou, Mengshu
    2016 IEEE 22ND INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS), 2016, : 16 - 23
  • [43] Converting a smartphone into an accurate solar compass
    Andreoli, Fabrizio
    Bollanti, Sarah
    Di Lazzaro, Paolo
    Flora, Francesco
    Mezi, Luca
    Murra, Daniele
    Murra, Luca
    APPLIED OPTICS, 2022, 61 (06) : 1398 - 1402
  • [44] Accurate determination of distortion for smartphone cameras
    Lee, Sukmock
    Kim, Byongoh
    Lee, Jiyeon
    Sasian, Jose
    APPLIED OPTICS, 2014, 53 (29) : H1 - H6
  • [45] Time-of-Arrival-Based Indoor Smartphone Localization Using Light-Synchronized Acoustic Waves
    Akiyama, Takayuki
    Sugimoto, Masanori
    Hashizume, Hiromichi
    IEICE TRANSACTIONS ON FUNDAMENTALS OF ELECTRONICS COMMUNICATIONS AND COMPUTER SCIENCES, 2017, E100A (09): : 2001 - 2012
  • [46] Towards Accurate Positioning of Underwater Vehicles Using Low-cost Acoustic Modems
    Busse, Christian
    Renner, Bernd-Christian
    2022 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA 2022), 2022,
  • [47] FusionTrack: Towards Accurate Device-free Acoustic Motion Tracking with Signal Fusion
    Zhang, Jiarui
    Wang, Jiliang
    ACM TRANSACTIONS ON SENSOR NETWORKS, 2024, 20 (03)
  • [48] Towards Accurate Localization: Long- and Short-term Correlation Filters for Tracking
    Li, Minglangjun
    Tian, Chunna
    NINTH INTERNATIONAL CONFERENCE ON GRAPHIC AND IMAGE PROCESSING (ICGIP 2017), 2018, 10615
  • [49] Accurate acoustic energy-based localization with beacon position uncertainty in wireless sensor networks
    Wu, Xiaoping
    Wang, GuoYing
    Dai, Dan
    Tong, Mengjun
    JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, 2014, 43 : 76 - 83
  • [50] Accurate Source Localization Using Highly Narrowband and Densely Populated MEMS Acoustic Emission Sensors
    Kabir, Minoo
    Saboonchi, Hossain
    Ozevin, Didem
    STRUCTURAL HEALTH MONITORING 2015: SYSTEM RELIABILITY FOR VERIFICATION AND IMPLEMENTATION, VOLS. 1 AND 2, 2015, : 3009 - 3016