US 11,736,157 B2
Channel estimation method and apparatus
Huangping Jin, Shanghai (CN); Xiaohan Wang, Shanghai (CN); and Xiaoyan Bi, Ottawa (CA)
Assigned to Huawei Technologies Co., Ltd., Shenzhen (CN)
Filed by HUAWEI TECHNOLOGIES CO., LTD., Guangdong (CN)
Filed on Jul. 26, 2022, as Appl. No. 17/873,393.
Application 17/873,393 is a continuation of application No. 17/157,318, filed on Jan. 25, 2021, granted, now 11,431,384.
Application 17/157,318 is a continuation of application No. PCT/CN2019/096179, filed on Jul. 16, 2019.
Claims priority of application No. 201810840729.8 (CN), filed on Jul. 26, 2018.
Prior Publication US 2022/0385339 A1, Dec. 1, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. H04B 7/0417 (2017.01); H04B 7/0456 (2017.01); H04B 7/06 (2006.01); H04L 25/02 (2006.01)
CPC H04B 7/0417 (2013.01) [H04B 7/046 (2013.01); H04B 7/0634 (2013.01); H04L 25/0204 (2013.01)] 20 Claims
OG exemplary drawing
 
1. A channel estimation method, comprising:
receiving indication information, wherein the indication information indicates L space-frequency basis vectors for constructing an M×N-dimensional space-frequency vector; the space-frequency vector comprises M N-dimensional precoding vectors, each precoding vector is used in one of M frequency bands, and the space-frequency vector is generated by performing a weighted combination on L space-frequency component vectors; each of the L space-frequency component vectors is a vector comprising M×N elements that are in one of the L space-frequency basis vectors, and each of the L space-frequency basis vectors is a Nf×N-dimensional vector; the space-frequency basis vector is a three-dimensional oversampled discrete Fourier transform (DFT) vector; and L≥2, Nf≥M≥1, N≥2, and L, M, N, and Nf are integers; wherein each space-frequency basis vector is selected from a space-frequency basis vector set; the space-frequency basis vector set comprises at least two space-frequency basis vector subsets, and any two space-frequency basis vectors comprised in each space-frequency basis vector subset are orthogonal to each other; and the L space-frequency basis vectors are selected from one of the at least two space-frequency basis vector subsets, and wherein the indication information indicates the space-frequency basis vector subset from which the L space-frequency basis vectors are selected, and wherein the indication information indicates indexes of the L space-frequency basis vectors in the space-frequency basis vector subset; and
determining the L space-frequency basis vectors based on the indication information.