Invention Grant
- Patent Title: Deep convolutional neural network powered terahertz ultra-massive multi-input-multi-output channel estimation method
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Application No.: US17807306Application Date: 2022-06-16
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Publication No.: US11784685B2Publication Date: 2023-10-10
- Inventor: Chong Han , Yuhang Chen , Longfei Yan
- Applicant: SHANGHAI JIAOTONG UNIVERSITY
- Applicant Address: CN Shanghai
- Assignee: SHANGHAI JIAOTONG UNIVERSITY
- Current Assignee: SHANGHAI JIAOTONG UNIVERSITY
- Current Assignee Address: CN Shanghai
- Agency: CBM PATENT CONSULTING, LLC
- Priority: CN 2110715991.1 2021.06.28
- Main IPC: H04B7/0452
- IPC: H04B7/0452 ; H04B7/0426 ; H04L25/02

Abstract:
A THz UM-MIMO channel estimation method based on the DCNN comprises the steps: the hybrid spherical and planar-wave modeling (HSPM), by taking a sub-array in the antenna array as a unit, employing the PWM within the sub-array, and employing the SWM among the sub-arrays; estimating the channel parameters between the reference sub-arrays at Tx and Rx through a DCNN, including the angles of departure and arrival, the propagation distance and the path gain; deducing the channel parameters between the reference sub-array and other sub-arrays by utilizing the obtained channel parameters and the geometrical relationships among sub-arrays, and recovering the channel matrix; wherein accurate three-dimensional channel modeling is achieved by the HSPM, which possesses high modeling accuracy and low complexity.
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