KR-20260063648-A - APPARATUS AND METHOD FOR OPTIMIZING DIGITAL POST-PROCESSING FOR INTEGRATED SENSING AND COMMUNICATION DEVICE

Abstract

The present invention relates to a digital post-processing optimization device and method for an Integrated Sensing and Communication (ISAC) device. The digital post-processing optimization device for a sensing device according to the present invention comprises: a memory containing one or more instructions; and a processor that executes one or more instructions stored in the memory. The processor calculates a correlation value between an analog beam for sensing and a sensing channel of the sensing device, calculates a Signal to Noise Ratio (SNR) relationship between the correlation value and a digital post-processing matrix and the SNR, calculates a power relationship between the digital post-processing matrix and the power used for digital post-processing, and calculates a digital post-processing matrix that simultaneously satisfies the equation for calculating the SNR relationship and the equation for calculating the power relationship, thereby enabling high sensing performance while reducing computational complexity and computation time even in near-field and beam squint environments.

Inventors

• 채찬병
• 김윤태
• 양시윤
• 유한주

Assignees

• 연세대학교 산학협력단

Dates

Publication Date

20260507

Application Date

20241030

Claims (10)

1. Memory containing one or more instructions; and A processor that executes one or more instructions stored in the memory above; Includes, The above processor is, Calculate the correlation value between the sensing analog beam of the sensing device and the sensing channel, and Calculate the SNR relationship between the above correlation values, the digital post-processing matrix, and the SNR (Signal to Noise Ratio), and Calculate the power relationship between the above digital post-processing matrix and the power used in digital post-processing, and A digital post-processing optimization device for a sensing device, characterized by calculating a digital post-processing matrix that simultaneously satisfies the equation for calculating the SNR relationship and the equation for calculating the power relationship.
2. In paragraph 1, A digital post-processing optimization device for a sensing device, characterized in that the sensing device is an Integrated Sensing and Communication (ISAC) device.
3. In paragraph 1, A digital post-processing optimization device for a sensing device, characterized in that the processor stores the result of the calculation of the digital post-processing matrix in a codebook.
4. In paragraph 1, A digital post-processing optimization device for a sensing device, characterized in that the processor calculates the correlation value by considering the near-field effect and the beam squint effect.
5. In paragraph 1, A digital post-processing optimization device for a sensing device, characterized in that the processor calculates a digital post-processing matrix according to the angle and distance to be sensed, respectively.
6. A digital post-processing optimization method for a sensing device performed by a digital post-processing optimization device comprising one or more processors and memory: A step of calculating the correlation value between the analog beam for sensing of the sensing device and the sensing channel; A step of calculating an SNR relationship between the above correlation value and the digital post-processing matrix and the SNR (Signal to Noise Ratio); A step of calculating a power relationship between the above digital post-processing matrix and the power used in digital post-processing; and A step of calculating a digital post-processing matrix that simultaneously satisfies the equation for calculating the SNR relationship and the equation for calculating the power relationship; A digital post-processing optimization method for a sensing device characterized by including
7. In paragraph 6, A digital post-processing optimization method for a sensing device, characterized in that the sensing device is an Integrated Sensing and Communication (ISAC) device.
8. In paragraph 6, After the step of calculating the above digital post-processing matrix, A step of storing the above digital post-processing matrix calculation result in a codebook; A digital post-processing optimization method for a sensing device, characterized by further including
9. In paragraph 6, A digital post-processing optimization method for a sensing device, characterized in that the step of calculating the correlation value is to calculate the correlation value by considering the near-field effect and the beam squint effect.
10. In paragraph 6, A digital post-processing optimization method for a sensing device, characterized in that the step of calculating the digital post-processing matrix is to calculate the digital post-processing matrix according to the angle and distance to be sensed, respectively.

Description

Apparatus and Method for Optimizing Digital Post-Processing for Integrated Sensing and Communication Device The present invention relates to an Integrated Sensing and Communication (ISAC) device, and more particularly to a digital post-processing technology for an ISAC device. An ISAC device refers to a device that simultaneously implements radar sensing and communication using a single communication device and signal waveform. It is a device that integrates sensing and communication into a single unit by beginning to use hardware and frequencies similar to a hybrid beamforming structure, which combines the advantages of digital and analog beamforming methods in radar systems. Communication using the conventional beam sweeping method proceeds in a process where the user terminal interprets the signal sent by the base station to the user terminal and provides feedback, which the base station then receives. However, since radar sensing allows the base station to directly receive and process signals reflected from objects such as user terminals without an intermediate signal processing step, it can estimate the channel faster compared to the beam sweeping method. Therefore, according to the ISAC device, a communication channel model can be designed using sensing information, and by utilizing this for communication, there is an advantage in obtaining the benefits of a low-complexity channel estimation process with a single device. However, as the frequency bandwidth used by ISAC devices widens and the number of antennas increases, there are problems such as beam squint and near-field effects. Figure 4 is a schematic diagram illustrating this beam squint phenomenon. Beam squint is a phenomenon in which the direction of the beam shifts according to the frequency when the frequency bandwidth is widened (Ultra-wideband). Since array antennas are designed to match the center frequency (f c ), there is a problem in that the beam cannot be formed in the intended direction at frequencies (f min , f max ) that are off from the center frequency. Figure 5 is a diagram schematically showing the near-field effect. The near-field effect is a phenomenon that occurs when the physical size of an array antenna is large relative to its frequency due to the diameter (D) of the array antenna. When a user is located at a close distance (near-field) from the antenna array, the radio waves generated by each antenna fail to form plane waves and instead form spherical waves, resulting in a problem where the necessary gain cannot be obtained. The inventors of the present invention have made long-term research efforts to solve the problems caused by the beam squint phenomenon and near-field effect of the ISAC device as described above, and have come to complete the present invention, which can provide a digital post-processing technology capable of beam focusing that can concentrate a beam in a specific direction and distance instead of beam forming. FIG. 1 is a schematic diagram of a digital post-processing optimization device for an integrated sensing and communication device according to a preferred embodiment of the present invention. FIG. 2 is a graph showing the correlation calculation results of a digital post-processing optimization device for an integrated sensing and communication device according to a preferred embodiment of the present invention. FIG. 3 is a schematic flowchart of a digital post-processing optimization method for a sensing device according to another preferred embodiment of the present invention. Figure 4 is a diagram schematically illustrating the beam squint phenomenon. Figure 5 is a diagram schematically showing the near-field effect. The above-mentioned objectives, means, and resulting effects of the present invention will become clearer through the following detailed description in conjunction with the attached drawings, and accordingly, a person skilled in the art to which the present invention pertains will be able to easily implement the technical concept of the present invention. Furthermore, in describing the present invention, if it is determined that a detailed description of known technology related to the present invention may unnecessarily obscure the essence of the present invention, such detailed description will be omitted. The terms used herein are for describing the embodiments and are not intended to limit the invention. In this specification, the singular form includes the plural form as appropriate unless specifically stated otherwise in the text. In this specification, terms such as “comprising,” “providing,” “arranging,” or “having” do not exclude the presence or addition of one or more other components in addition to the components mentioned. In this specification, terms such as “or,” “at least one,” etc., may represent one of the words listed together or a combination of two or more. For example, “or B” and “at least one of B” may include only one of A or B, or may include both A and