US 12,019,181 B2
Iterative focused millimeter wave integrated communication and sensing method
Zhaoyang Zhang, Hangzhou (CN); Xin Tong, Hangzhou (CN); and Yihan Zhang, Hangzhou (CN)
Assigned to ZHEJIANG UNIVERSITY, Hangzhou (CN)
Filed by ZHEJIANG UNIVERSITY, Zhejiang (CN)
Filed on Jul. 26, 2023, as Appl. No. 18/358,975.
Application 18/358,975 is a continuation of application No. PCT/CN2022/138958, filed on Dec. 14, 2022.
Claims priority of application No. 202210906702.0 (CN), filed on Jul. 29, 2022.
Prior Publication US 2024/0045026 A1, Feb. 8, 2024
Int. Cl. G01S 7/00 (2006.01); G01S 7/41 (2006.01); H04W 64/00 (2009.01)
CPC G01S 7/414 (2013.01) [G01S 7/006 (2013.01); H04W 64/00 (2013.01)] 5 Claims
OG exemplary drawing
 
1. An iterative focused millimeter wave integrated communication and sensing method, which is applied to uplink wireless communication, comprising the following steps:
S1, in any time slot, receiving, by a base station, pilot frequency sequence signals with a certain length sent by all active users in an environment to obtain receiving signals, wherein the receiving signals are signals after the pilot frequency sequence signals are influenced by environment;
S2, converting an environmental sensing problem of a specific target into a compressed sensing reconstruction problem using the receiving signals in the step S1 based on a multi-beam multi-carrier millimeter wave channel model;
S3, solving the compressed sensing reconstruction problem in the step S2 based on an approximate message passing method to obtain a coarse environmental sensing initial result;
S4, selecting a predetermined region as a region of interest from whole environment based on the coarse environmental sensing initial result, and dividing and determining a target object in the region of interest according to a background determining method and removing influence of background scatters outside the region of interest on the receiving signals to obtain receiving signals corresponding to the target object;
S5, calculating an environmental sensing result based on the receiving signals corresponding to the target object obtained in the step S4; and
S6, repeating the steps S4 and S5 in sequence until an algorithm convergence, to obtain a final environment sensing result.