Iterative focused millimeter wave integrated communication and sensing method

Patent metadata

Field	Value
Publication number	US-12019181-B2
Application number	US-202318358975-A
Country	US
Kind code	B2
Filing date	Jul 26, 2023
Priority date	Jul 29, 2022
Publication date	Jun 25, 2024
Grant date	Jun 25, 2024

Abstract

Provided is an iterative focused millimeter wave integrated communication and sensing method, which converts an environmental sensing problem into a compressed sensing reconstruction problem, and realizes the initial coarse sensing of the environment based on an approximate message passing algorithm; according to a background determining method, the present disclosure divides and determines a target object, removes the influence of background scatters on a receiving signal, and removes the background scatters repeatedly and iteratively, so as to obtain a more accurate focus sensing result of the target object. Compared with existing environment sensing reconstruction algorithms, the iterative focused millimeter wave environment sensing algorithm of the present disclosure significantly improves the accuracy of environment sensing, solves the problem that a large-scale environment cannot be accurately sensed due to limited system resources, and provides an efficient environment sensing method for the future design of integrated sensing and communication systems.

First claim

What is claimed is:

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.

2. The method according to claim 1 , wherein the step S2 comprises the following sub-steps:
S21, discretizing environmental information in the receiving signals in the step S1 into pixels, wherein each of the pixels represents environmental information in a small square with a surrounding size of l s ×w s , letting an environmental size of a whole range is L s ×W s , a total number of the pixels being N s =L/l s ×W/w s ; each of the pixels is empty, or has scatters inside, wherein a scattering coefficient x n s is used to represent a scattering coefficient of a small cube where a n s th point cloud is located, when an interior of the small cube is empty, x n s =0, and environmental information of a whole room is expressed as x=[x 1 , x 2 , . . . , x N s ] T ;
S22, constructing the multi-beam multi-carrier millimeter wave channel model, wherein at an n f th subcarrier frequency, the receiving signals received by a receiving antenna of the base station are expressed as follows:
y n f =w n f ( H n f s→B diag(δ x ) H n f u→s +H n f LOS ) s n f +n=w n f ( H n f NLOS +H n f LOS ) s n f +n

where y n f ∈ N c ×K represents the receiving signals with a length of K code elements of RF links of N c base stations, w n f ∈ N c ×N R represents a beam forming vector of N R uniform linear array receiving antennas of the base stations, δ represents a normalized coefficient of a scattering coefficient, selected according to a pixel size l s ×w s , wherein a normalized coefficient defines a physical relationship between an electromagnetic wave receiving region and a receiving power, s n f ∈ N u ×K represents pilot frequencies with a length of K code elements sent by N u users, n represents noise; H n f LOS represents a free-space propagation channel from N u users to N R receiving antennas at an n f th subcarrier frequency; and H n f NLOS represents a Non-Line-of-Sight (NLOS) channel on an n f th subcarrier;
wherein H n f NLOS is expressed as follows:
H n f LOS =e n f LOS G n f LOS

where e n f LOS represents a steering vector of N u users and G n f LOS represents a channel gain from N u users to the base station;
wherein e n f LOS is expressed as follows:

e

n
f

LOS

(

n
R

,

n
u

)

=

e

j
⁢

2
⁢
π

λ

n
f

⁢

(

n
R

-
1

)

⁢
dsin
⁢

θ

n
u

LOS

/

N
R

where j represents a complex code element, n R represents a serial number of the receiving antenna, θ n u LOS represents an arrival angle of an n u th user, and d represents a uniform linear array antenna spacing deployed by the base station, and λ n f represents a wavelength;
wherein G n f LOS is expressed as follows:

G

n
f

LOS

=

diag
(

[

g

n
f

,
1

LOS

⁢

e

j
⁢

φ

n
f

,
1

L
⁢
O
⁢
S

,

…
,

Assignees

• Univ Zhejiang

Inventors

• Zhang Zhaoyang
• Tong Xin
• Zhang Yihan

Classifications

• Y02D30/70

  in wireless communication networks · CPC title

• H04W64/00 Primary

  Locating users or terminals {or network equipment} for network management purposes, e.g. mobility management · CPC title

• G01S7/006

  using shared front-end circuitry, e.g. antennas (G01S13/765, G01S13/825 take precedence) · CPC title

• G01S7/414 Primary

  Discriminating targets with respect to background clutter · CPC title

• H04W4/021

  Services related to particular areas, e.g. point of interest [POI] services, venue services or geofences · CPC title