Multi-channel signal calibration system and multi-channel signal calibration method
Patent Information
- Application Number
- TW114134672
- Authority / Receiving Office
- TW · TW
- Patent Type
- Patents
- Current Assignee / Owner
- Filing Date
- 2025-09-10
- Publication Date
- 2026-09-21
- Estimated Expiration
- 2045-09-09
Smart Images

Figure TWG2TB001912413_001 
Figure TWG2TB001912413_002 
Figure TWG2TB001912413_003
Abstract
Claims
1. A multi-channel signal correction system, comprising: Multiple modules; and a processor, coupled to the plurality of modules, and used to control the plurality of modules, wherein the plurality of modules include: a smoothing module for generating angle of arrival information, channel gain and linearized residual based on continuously received signals; An enhanced state estimation module is used to construct the item to be estimated based on the angle of arrival information, the channel gain, and the linearized residual; and a robust signal compensation module is a robust H-infinity filtering model used to calculate and output a set of control parameters based on the item to be estimated, environmental factors, and optimization parameters for beam tracking.
2. The multi-channel signal correction system as claimed in claim 1, wherein the plurality of modules comprises: A signal transceiver module, including an antenna array and a transceiver, is used to receive the continuously received signal.
3. The multi-channel signal correction system as claimed in claim 2, wherein the antenna array is adjusted based on the set of control parameters.
4. The multi-channel signal correction system as described in claim 1, wherein the items to be estimated include azimuth, elevation, distance, error rate, signal-to-noise ratio, and judgment condition.
5. The multi-channel signal correction system as claimed in claim 1, wherein the set of control parameters includes phase control parameters, gain control parameters, direction control parameters, and angle control parameters.
6. The multi-channel signal correction system as claimed in claim 1, wherein the smoothing module comprises: A first smoothing model is used to generate the angle of arrival information and the channel gain based on the continuously received signals; And a second smoothing model for generating the linearized residuals based on the continuously received signals.
7. The multi-channel signal correction system as claimed in claim 1, wherein the plurality of modules comprises: A parameter optimization and adjustment module is used to calculate the optimized parameters according to the bilinear matrix inequalities (BMI) during the training phase and provide the optimized parameters to the robust signal compensation module.
8. The multi-channel signal correction system as claimed in claim 7, wherein during the training phase, the robust signal compensation module is used to calculate the bilinear matrix inequality based on the item to be estimated and the environmental factors, and to provide the bilinear matrix inequality to the parameter optimization adjustment module.
9. The multi-channel signal correction system as claimed in claim 7, wherein the parameter optimization adjustment module converts the bilinear matrix inequality into a linear matrix inequality (LMI) and calculates the optimization parameters based on the LMI.
10. The multi-channel signal correction system as claimed in claim 7, wherein the multi-channel signal correction system enters the training phase in response to the continuous received signal meeting preset conditions.
11. A multi-channel signal correction method, applicable to a terminal device, wherein the multi-channel signal correction method is executed by a processor of the terminal device, and includes: Angle of arrival information, channel gain, and linearized residuals are generated based on continuously received signals. The estimated item is constructed based on the angle of arrival information, the channel gain, and the linearized residual; a set of control parameters is calculated and output based on the estimated item, environmental factors, and optimization parameters; and the set of control parameters is calculated and output through a robust H-infinity filter model for beam tracking.
12. The multi-channel signal correction method as described in claim 11, comprising: Receive the continuously received signal.
13. The multi-channel signal correction method as described in claim 12, comprising: Adjust the antenna array based on the set of control parameters.
14. The multi-channel signal correction method as described in claim 11, wherein the items to be estimated include azimuth, elevation, distance, error rate, signal-to-noise ratio, and judgment condition.
15. The multi-channel signal correction method as described in claim 11, wherein the set of control parameters includes phase control parameters, gain control parameters, direction control parameters, and angle control parameters.
16. The multi-channel signal correction method as claimed in claim 11, wherein the step of generating the angle of arrival information, the channel gain, and the linearized residual based on the continuously received signal includes: The angle of arrival information and the channel gain are generated based on the continuously received signals using a first smoothing processing model. And the linearized residual is generated based on the continuously received signal using a second smoothing processing model.
17. The multi-channel signal correction method as described in claim 11, comprising: During the training phase, the optimization parameters are calculated based on the bilinear matrix inequality.
18. The multi-channel signal correction method as described in claim 17, comprising: During the training phase, the bilinear matrix inequality is calculated based on the project to be estimated and the environmental factors.
19. The multi-channel signal correction method as described in claim 17, wherein the step of calculating the optimization parameters according to the bilinear matrix inequality includes: The bilinear matrix inequality is converted into a linear matrix inequality, and the optimization parameters are calculated based on the linear matrix inequality.
20. The multi-channel signal correction method as described in claim 17, comprising: In response to the continuous reception of signals meeting preset conditions, the terminal device enters the training phase.
Citation Information
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