CN-122001422-A - Beam forming and related equipment

CN122001422ACN 122001422 ACN122001422 ACN 122001422ACN-122001422-A

Abstract

The application provides a beam forming and related equipment, which can adopt an optimization condition combination corresponding to a target optimization mode to determine a beam forming matrix, so that the effect of a reconfigurable holographic super-surface emission signal meets the requirement corresponding to the target optimization mode, and the flexibility of a general sense integrated system and the maximization of the system energy efficiency are improved. The beam forming method can be applied to a sense-on-all integrated system and comprises the steps of obtaining a target optimization mode, selecting a target optimization condition combination corresponding to the target optimization mode from a plurality of optimization condition combinations, and determining a beam forming matrix based on the target optimization condition combination, a current communication channel matrix and first beam information of a current perception object direction.

Inventors

SU XUEYAN
WEI MENG
JIANG RUDAN
WANG DONGYAO
ZHAO YUNZHANG
SONG SHUAI
MA WENXUE
MIAO LONG
QU FENG

Assignees

北京京东方技术开发有限公司
京东方科技集团股份有限公司

Dates

Publication Date: 20260508
Application Date: 20241107

Claims (12)

1. A method of beamforming, applied to a system integrating through-sensing, the method comprising: obtaining a target optimization mode; Selecting a target optimization condition combination corresponding to the target optimization mode from a plurality of optimization condition combinations; And determining a beam forming matrix based on the target optimization condition combination, the current communication channel matrix and the first beam information of the current perception object direction.
2. The method of claim 1, wherein the plurality of optimization condition combinations comprises at least two condition combinations of: an optimization condition combination corresponding to the first optimization mode, an optimization condition combination corresponding to the second optimization mode and an optimization condition combination corresponding to the third optimization mode; Wherein any one of the plurality of optimization condition combinations comprises one or more conditions.
3. The method of claim 2, wherein at least one condition present in any two optimized condition combinations is different.
4. A method according to any of claims 1-3, wherein said determining a beamforming matrix based on said target optimization condition combination and a current received signal comprises: Determining a first gray scale map based on the current communication channel matrix; determining a second gray scale map based on the first beam information; And determining a beam forming matrix based on the target optimization condition combination, the first gray scale image and the second gray scale image.
5. The method of claim 4, wherein determining a beamforming matrix based on the target optimization condition combination, the first gray scale map, the second gray scale map, comprises: inputting the first gray level image into a first channel in a preset neural network model, outputting a third gray level image by the first channel, and characterizing a channel matrix after characteristic reinforcement of the current communication channel matrix by a channel matrix corresponding to the third gray level image; Inputting the second gray level image into a second channel in the neural network model, and outputting a fourth gray level image by the second channel, wherein second beam information corresponding to the fourth gray level image represents beam information after the first beam information is subjected to characteristic reinforcement; And determining a beam forming matrix based on the target optimization condition combination and the channel matrix corresponding to the third gray scale image and the second beam information corresponding to the fourth gray scale image.
6. An electronic device comprising a processor; the processor is configured to: obtaining a target optimization mode; Selecting a target optimization condition combination corresponding to the target optimization mode from a plurality of optimization condition combinations; And determining a beam forming matrix based on the target optimization condition combination, the current communication channel matrix and the first beam information of the current perception object direction.
7. The apparatus of claim 6, wherein the plurality of optimization condition combinations comprises at least two condition combinations of: an optimization condition combination corresponding to the first optimization mode, an optimization condition combination corresponding to the second optimization mode and an optimization condition combination corresponding to the third optimization mode; Wherein any one of the plurality of optimization condition combinations comprises one or more conditions.
8. The apparatus of claim 7, wherein at least one condition present in any two optimized condition combinations is different.
9. The apparatus according to any of claims 6-8, wherein the processor is specifically configured to: Determining a first gray scale map based on the current communication channel matrix; determining a second gray scale map based on the first beam information; And determining a beam forming matrix based on the target optimization condition combination, the first gray scale image and the second gray scale image.
10. The apparatus of claim 9, wherein the processor is configured to: inputting the first gray level image into a first channel in a preset neural network model, outputting a third gray level image by the first channel, and characterizing a channel matrix after characteristic reinforcement of the current communication channel matrix by a channel matrix corresponding to the third gray level image; Inputting the second gray level image into a second channel in the neural network model, and outputting a fourth gray level image by the second channel, wherein second beam information corresponding to the fourth gray level image represents beam information after the first beam information is subjected to characteristic reinforcement; And determining a beam forming matrix based on the target optimization condition combination and the channel matrix corresponding to the third gray scale image and the second beam information corresponding to the fourth gray scale image.
11. The universal sensing integrated system is characterized by comprising a reconfigurable holographic super surface, a base station antenna and a processing device; The reconfigurable holographic subsurface is used for transmitting a target signal, the target signal is used for communicating with user equipment and for sensing an object; the base station antenna is used for receiving the communication signal of the user equipment and the reflection signal of any object to the target signal; the processing means being for performing the method of any one of claims 1-5.
12. The system of claim 11, wherein the processing means is further for: and controlling the reconfigurable holographic super surface according to the determined beam forming matrix.

Description

Beam forming and related equipment Technical Field The application relates to the field of communication, and provides beam forming and related equipment. Background As communication technologies continue to evolve, spectrum resources are strained. In order to improve the utilization rate of spectrum resources, a communication perception integrated technology is provided. The communication and perception integrated technology utilizes the same hardware platform to integrate communication and perception functions by sharing the frequency bands of communication and radar detection. Disclosure of Invention The embodiment of the application provides a beam forming and related equipment, which can adopt an optimization condition combination corresponding to a target optimization mode to determine a beam forming matrix, so that the effect of a reconfigurable holographic super-surface emission signal meets the requirement corresponding to the target optimization mode, and the flexibility of a general sense integrated system and the maximization of the system energy efficiency are improved. In a first aspect, an embodiment of the present application provides a beamforming method, which may be applied to a sense-of-general integrated system, where the method includes: obtaining a target optimization mode; Selecting a target optimization condition combination corresponding to the target optimization mode from a plurality of optimization condition combinations; And determining a beam forming matrix based on the target optimization condition combination, the current communication channel matrix and the first beam information of the current perception object direction. As one possible implementation, the plurality of optimization condition combinations includes at least two condition combinations of: an optimization condition combination corresponding to the first optimization mode, an optimization condition combination corresponding to the second optimization mode and an optimization condition combination corresponding to the third optimization mode; Wherein any one of the plurality of optimization condition combinations comprises one or more conditions. As a possible implementation, the presence of at least one condition in any two optimized condition combinations is different. As a possible implementation manner, the determining a beamforming matrix based on the target optimization condition combination and the current received signal includes: Determining a first gray scale map based on the current communication channel matrix; determining a second gray scale map based on the first beam information; And determining a beam forming matrix based on the target optimization condition combination, the first gray scale image and the second gray scale image. As a possible implementation manner, determining the beamforming matrix based on the target optimization condition combination, the first gray scale map and the second gray scale map includes: inputting the first gray level image into a first channel in a preset neural network model, outputting a third gray level image by the first channel, and characterizing a channel matrix after characteristic reinforcement of the current communication channel matrix by a channel matrix corresponding to the third gray level image; Inputting the second gray level image into a second channel in the neural network model, and outputting a fourth gray level image by the second channel, wherein second beam information corresponding to the fourth gray level image represents beam information after the first beam information is subjected to characteristic reinforcement; And determining a beam forming matrix based on the target optimization condition combination and the channel matrix corresponding to the third gray scale image and the second beam information corresponding to the fourth gray scale image. In a second aspect, an embodiment of the present application provides an electronic device that may include a processor. The processor is configured to: obtaining a target optimization mode; Selecting a target optimization condition combination corresponding to the target optimization mode from a plurality of optimization condition combinations; And determining a beam forming matrix based on the target optimization condition combination, the current communication channel matrix and the first beam information of the current perception object direction. In one possible embodiment, the plurality of optimization condition combinations includes at least two condition combinations of: an optimization condition combination corresponding to the first optimization mode, an optimization condition combination corresponding to the second optimization mode and an optimization condition combination corresponding to the third optimization mode; Wherein any one of the plurality of optimization condition combinations comprises one or more conditions. As a possible embodiment, the presence of at least one condi