3D Parameter Estimation Method Based on CSI

YANG Xiaolong; SHE Yuan; ZHOU Mu; TIAN Zengshan; WANG Jiacheng

doi:10.11999/JEIT200698

Volume 44 Issue 2

Feb. 2022

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Article Navigation > Journal of Electronics & Information Technology > 2022 > 44(2): 627-636

YANG Xiaolong, SHE Yuan, ZHOU Mu, TIAN Zengshan, WANG Jiacheng. 3D Parameter Estimation Method Based on CSI[J]. Journal of Electronics & Information Technology, 2022, 44(2): 627-636. doi: 10.11999/JEIT200698

Citation:

YANG Xiaolong, SHE Yuan, ZHOU Mu, TIAN Zengshan, WANG Jiacheng. 3D Parameter Estimation Method Based on CSI[J]. Journal of Electronics & Information Technology, 2022, 44(2): 627-636. doi: 10.11999/JEIT200698

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3D Parameter Estimation Method Based on CSI

doi: 10.11999/JEIT200698

School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China

Funds: The National Natural Science Foundation of China (61771083, 61704015), Chongqing Natural Science Foundation Project (cstc2019jcyj-msxmX0635), The Science and Technology Research Project of Chongqing Education Commission (KJQN201800625)

Received Date: 2020-08-07
Accepted Date: 2021-07-08
Rev Recd Date: 2021-07-08

Available Online: 2021-12-08

Publish Date: 2022-02-25

Abstract

Abstract

In view of the limitation of the accuracy of the Angle of Arrival (AoA) and Time of Flight (ToF) estimation caused by limited array antennas and channel bandwidth in commodity Wi-Fi devices, and the maximum likelihood estimation algorithm tends sto converge to the local optimal value, and the way to estimate the parameters in turn will affect each other, a three-dimensional joint parameter estimation algorithm for AoA, ToF and Doppler Frequency Shift (DFS) based on Channel State Information (CSI) is proposed to improve parameter estimation accuracy and signal resolution. Firstly, a three-dimensional matrix containing AoA, ToF and DFS information is constructed and the dimensionality of the constructed three-dimensional matrix is reduced. Then, a three-dimensional spatial smoothing algorithm is designed to eliminate the influence of coherent signals on parameter estimation. Finally, the spatial spectrum estimation algorithm is carried out and the three parameters AoA, ToF and DFS are estimated simultaneously. Experimental results show that the accuracy and signal resolution of 3D joint parameter estimation method are higher than Space-Alternating Generalized Expectation maximization(SAGE) and two-dimensional parameter estimation methods.
- Channel State Information (CSI),
- Spatial smoothing,
- Angle of Arrival (AoA),
- Time of Flight (ToF),
- Doppler Frequency Shift (DFS)

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References(17)

References

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