US 12,261,660 B2
Asymmetric massive MIMO channel estimation method based on co-prime array
Jun Zhang, Jiangsu (CN); Jiacheng Lu, Jiangsu (CN); Shu Cai, Jiangsu (CN); Hairong Wang, Jiangsu (CN); Wenjun Lv, Jiangsu (CN); and Hongbo Zhu, Jiangsu (CN)
Assigned to NANJING UNIVERSITY OF POSTS ANDTELECOMMUNICATIONS, (CN)
Appl. No. 18/256,981
Filed by NANJING UNIVERSITY OF POSTS AND TELECOMMUNICATIONS, Jiangsu (CN)
PCT Filed Aug. 16, 2022, PCT No. PCT/CN2022/112628
§ 371(c)(1), (2) Date Jun. 12, 2023,
PCT Pub. No. WO2023/130726, PCT Pub. Date Jul. 13, 2023.
Claims priority of application No. 202210014946.8 (CN), filed on Jan. 7, 2022.
Prior Publication US 2024/0364389 A1, Oct. 31, 2024
Int. Cl. H04B 7/0413 (2017.01); H04L 25/02 (2006.01)
CPC H04B 7/0413 (2013.01) [H04L 25/0204 (2013.01); H04L 25/022 (2013.01); H04L 25/024 (2013.01)] 7 Claims
OG exemplary drawing
 
1. An asymmetric massive MIMO (Multiple Input Multiple Output) channel estimation method based on a co-prime array, comprising:
S1: establishing an uplink and downlink asymmetric massive MIMO system based on the co-prime array, wherein the uplink and downlink asymmetric massive MIMO system comprises a base station provided with ultra-large-scale antennas and users, the number of users is K, each user has a single antenna of K antennas, the number of the ultra-large-scale antennas of the base station is M, all the ultra-large-scale antennas of the base station have transmitting radio-frequency links, only N receiving radio-frequency links are available to be connected to N antennas within the ultra-large-scale antennas to receive uplink signals, and the users communicate with the base station by means of Q frequency points; M=mn+1, and N=m+n−1, where m<n, and m and n are co-prime; selecting uplink receiving antennas according to the co-prime array, and connecting the selected uplink receiving antennas to the receiving radio-frequency links;
S2: receiving and estimating, by the base station, uplink channel information of part of the ultra-large-scale antennas, and constructing, after the uplink channel information is transformed to a frequency domain and is screened and rearranged, a virtual linear uniform array;
S3: stretching virtual array information in the virtual linear uniform array to construct an observation matrix, then according to the observation matrix, constructing a group least absolute shrinkage and selection operator based on compressive sensing by means of spatial sparse characteristics to estimate a direction of arrival;
S4: reconstructing a partial array manifold matrix according to the estimated direction of arrival, and estimating path gain according to instantaneous channel information observed in the frequency domain later; and
S5: reconstructing a complete uplink channel according to the estimated path gain and direction of arrival, and reconstructing a downlink channel based on reciprocity.