Volume 43 Issue 12
Dec.  2018
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LIU Jingbin, HUANG Baichuan, ZHANG Bin, LI Leilei, YANG Fan, ZHANG Zhenbing, LI Zheng, TONG Pengfei. AOA Estimation Based on Channel State Information Extracted from WiFi with Double Antenna[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12): 2167-2172. DOI: 10.13203/j.whugis20180178
Citation: LIU Jingbin, HUANG Baichuan, ZHANG Bin, LI Leilei, YANG Fan, ZHANG Zhenbing, LI Zheng, TONG Pengfei. AOA Estimation Based on Channel State Information Extracted from WiFi with Double Antenna[J]. Geomatics and Information Science of Wuhan University, 2018, 43(12): 2167-2172. DOI: 10.13203/j.whugis20180178
shu

AOA Estimation Based on Channel State Information Extracted from WiFi with Double Antenna

  • 1.

    State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan 430079, China

  • 2.

    School of Remote Sensing and Information Engineering, Wuhan University, Wuhan 430079, China

  • 3.

    Department of Computer Science, City University of Hong Kong, Kowloon, Hong Kong, China

  • 4.

    College of Aerospace Engineering, Chongqing University, Chongqing 400044, China

Funds: 

The National Key Research and Development Program of China 2016YFB0502204

the National Natural Science Foundation of China 41874031

the Technology Innovation Program of Hubei Province 2018AAA070

the Natural Science Foundation of Hubei Province 2018CFA007

More Information
  • Author Bio:

    LIU Jingbin, PhD, professor, specializes in indoor and outdoor positioning, smartphone navigation, indoor mobile mapping, and GNSS/INS/SLAM integration technology. E-mail:jingbin.liu@whu.edu.cn

  • Received Date: August 29, 2018
  • Published Date: December 04, 2018
    Graphical Abstract
    • Abstract
  • The off-the-shelf WiFi network interface card(NIC) can provide channel state information(CSI) which has more detailed information than received signal strength indication(RSSI). Using three antennas to obtain channel state information of WiFi to estimate yaw angle of arrive(AOA) has become reality. Based on orthogonal frequency division multiplexing (OFDM) technology, this paper uses two antennas instead of three antennas to create a virtual antenna array with 60 antennas instead of 90 antennas and extends the forward smoothing algorithm to the two-dimensional forward smoothing algorithm, then uses experimental data of non-coherent signal and coherent signal in view of multiple signal classification(MUSIC) to verify the algorithm proposed, which can realize yaw angle of arrive estimation just with two antennas instead of three antennas. The virtual antenna array model and two-dimensional forward smoothing algorithm with two antennas proposed in this paper have validity and applicability.
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    • References (21)
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