CN-122021512-A - Power amplifier optimization method and device, storage medium and electronic equipment

CN122021512ACN 122021512 ACN122021512 ACN 122021512ACN-122021512-A

Abstract

The application discloses a power amplifier optimization method, a device, a storage medium and electronic equipment, wherein the power amplifier optimization method comprises the steps of obtaining topological structure parameters, performance specifications of efficiency and linearity and physical symmetry constraint of a power amplifier, identifying symmetry breaking modes of the power amplifier in a nonlinear working state based on the topological structure parameters and the physical symmetry constraint, associating the symmetry breaking modes with the performance specifications to construct a geometric optimization structure representing a trade-off relation between the efficiency and the linearity, and carrying out iterative optimization on design parameters of the power amplifier through symmetry recovery operation in the geometric optimization structure until preset convergence conditions are met to obtain target design parameters, and optimizing the power amplifier based on the target design parameters. The application can improve the optimization efficiency of the power amplifier.

Inventors

ZHANG HAIBO
ZHANG HAITAO
LIU YUFEI

Assignees

芯百特微电子(无锡)有限公司

Dates

Publication Date: 20260512
Application Date: 20260407

Claims (10)

1. A method of optimizing a power amplifier, comprising: Obtaining topological structure parameters, efficiency and linearity performance specifications and physical symmetry constraint of a power amplifier; Based on the topological structure parameters and physical symmetry constraints, identifying a symmetry breaking mode of the power amplifier in a nonlinear working state; Correlating the symmetry breaking mode with the performance specification to construct a geometric optimization structure characterizing a trade-off relationship between efficiency and linearity; In the geometric optimization structure, the design parameters of the power amplifier are subjected to iterative optimization through symmetry recovery operation until the preset convergence condition is met, so that target design parameters are obtained; the power amplifier is optimized based on the target design parameters.
2. The power amplifier optimization method of claim 1, wherein the identifying a symmetry-breaking mode of the power amplifier in a nonlinear operating state based on the topology parameters and physical symmetry constraints comprises: Based on the topological structure parameters, establishing a nonlinear behavior model of the power amplifier; Determining theoretical symmetry of the nonlinear behavior model in an ideal linear working state according to the physical symmetry constraint; the theoretical symmetry at which a break occurs in a nonlinear operating state is taken as a symmetry breaking mode.
3. The power amplifier optimization method of claim 1, wherein the associating the symmetry-breaking pattern with the performance specification to construct a geometry optimization that characterizes trade-off relationships between efficiency and linearity comprises: characterizing a design parameter space of the power amplifier as a Riemann manifold; Representing the symmetry-breaking pattern shape as a transform-generating meta-set acting on the Riemann manifold; and constructing a geometric optimization structure for constructing a trade-off relation between the characterization efficiency and the linearity based on the performance specification and the transformation generation element set.
4. The power amplifier optimization method of claim 3, wherein the constructing a geometric optimization structure that constructs a trade-off relationship between characterization efficiency and linearity based on the performance specification and the transformation-generated metaset comprises: Defining an efficiency target sub-manifold and a linearity target sub-manifold on the Riemann manifold, respectively, based on the performance specification; Defining an intersection space between the efficiency target sub-manifold and the linearity target sub-manifold as pareto candidate manifolds for representing a trade-off relationship between efficiency and linearity; and carrying out constraint and dimension reduction on the pareto candidate manifold by the transformation generating element set to obtain a geometric optimization structure.
5. The power amplifier optimization method as set out in claim 1, wherein said iteratively optimizing the design parameters of the power amplifier in the geometry optimization structure by a symmetry restoration operation until a preset convergence condition is satisfied, comprises: Initializing a current design parameter point on the geometric optimization structure; calculating a performance optimization direction and a symmetry recovery direction; and carrying out iterative optimization on the current design parameter point on the geometric optimization structure according to the performance optimization direction and the symmetry recovery direction until a preset convergence condition is met, so as to obtain a target design parameter.
6. The power amplifier optimizing method as set out in claim 5, wherein said iteratively optimizing said current design parameter point on said geometry optimizing structure according to said performance optimizing direction and said symmetry restoring direction until a predetermined convergence condition is satisfied, comprises: synthesizing the performance optimization direction and the symmetry recovery direction to obtain a comprehensive optimization direction at the current design parameter point; Updating the current design parameter point on the geometric optimization structure along the comprehensive optimization direction, and judging whether the updated current design parameter point meets a preset convergence condition or not; if yes, determining the updated corresponding design parameters of the current design parameter points as target design parameters; if not, returning to the step of executing the calculation of the performance optimization direction and the symmetry restoration direction.
7. The power amplifier optimization method of claim 6, wherein updating the current design parameter point on the geometry optimization structure along the integrated optimization direction comprises: On the geometric optimization structure, solving a geodesic line which starts from the current design parameter point and takes an initial tangent vector as the comprehensive optimization direction; Determining the position of a next parameter point along the geodesic line according to a preset step length; and mapping the position of the next parameter point back to the geometric optimization structure, and taking the next parameter point as the updated current design parameter point.
8. A power amplifier optimization apparatus, comprising: The acquisition unit is used for acquiring topological structure parameters, efficiency and performance specifications of linearity and physical symmetry constraint of the power amplifier; the identification unit is used for identifying a symmetry breaking mode of the power amplifier in a nonlinear working state based on the topological structure parameters and physical symmetry constraint; A construction unit for associating the symmetry breaking mode with the performance specification to construct a geometric optimization structure representing a trade-off relationship between efficiency and linearity; The iteration unit is used for carrying out iterative optimization on the design parameters of the power amplifier through symmetry recovery operation in the geometric optimization structure until the preset convergence condition is met, so as to obtain target design parameters; And the optimizing unit is used for optimizing the power amplifier based on the target design parameters.
9. A storage medium storing a plurality of instructions adapted to be loaded by a processor to perform the power amplifier optimization method of any one of claims 1-7.
10. An electronic device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, wherein the processor implements the power amplifier optimization method of any one of claims 1-7 when the computer program is executed by the processor.

Description

Power amplifier optimization method and device, storage medium and electronic equipment Technical Field The embodiment of the application relates to the technical field of amplifiers, in particular to a power amplifier optimization method, a power amplifier optimization device, a storage medium and electronic equipment. Background The Power Amplifier (PA) is a key component in a wireless communication system, and its performance directly determines the energy efficiency, signal quality and overall cost of the system. In the fifth generation (5G) and subsequent high frequency broadband applications such as mobile communications, satellite communications, radar, etc., the Power amplifier design faces an inherent contradiction between efficiency (Power ADDED EFFICIENCY, PAE) and linearity (e.g., ACPR, EVM, etc.). Increasing efficiency tends to result in increased nonlinear distortion affecting signal quality, while in order to increase linearity, it is often necessary for the amplifier to operate in the Back-off region, resulting in a significant decrease in efficiency. However, the current power amplifier optimization method generally regards efficiency and linearity as performance indexes which are independent or simply coupled, and the conventional numerical method based on discrete sample trial-and-error or sequential optimization cannot convert the performance optimization problem into a symmetry recovery problem with more structural and guiding properties, so that the optimization efficiency of the power amplifier is low. Disclosure of Invention The embodiment of the application provides a power amplifier optimization method, a device, a storage medium and electronic equipment, which can improve the optimization efficiency of a power amplifier. In a first aspect, an embodiment of the present application provides a power amplifier optimization method, including: Obtaining topological structure parameters, efficiency and linearity performance specifications and physical symmetry constraint of a power amplifier; Based on the topological structure parameters and physical symmetry constraints, identifying a symmetry breaking mode of the power amplifier in a nonlinear working state; Correlating the symmetry breaking mode with the performance specification to construct a geometric optimization structure characterizing a trade-off relationship between efficiency and linearity; In the geometric optimization structure, the design parameters of the power amplifier are subjected to iterative optimization through symmetry recovery operation until the preset convergence condition is met, so that target design parameters are obtained; the power amplifier is optimized based on the target design parameters. In the power amplifier optimization method provided by the embodiment of the application, the identifying the symmetry breaking mode of the power amplifier in the nonlinear working state based on the topological structure parameter and the physical symmetry constraint comprises the following steps: Based on the topological structure parameters, establishing a nonlinear behavior model of the power amplifier; Determining theoretical symmetry of the nonlinear behavior model in an ideal linear working state according to the physical symmetry constraint; the theoretical symmetry at which a break occurs in a nonlinear operating state is taken as a symmetry breaking mode. In the power amplifier optimization method provided by the embodiment of the application, the step of associating the symmetry breaking mode with the performance specification to construct a geometric optimization structure for representing a trade-off relationship between efficiency and linearity includes: characterizing a design parameter space of the power amplifier as a Riemann manifold; Representing the symmetry-breaking pattern shape as a transform-generating meta-set acting on the Riemann manifold; and constructing a geometric optimization structure for constructing a trade-off relation between the characterization efficiency and the linearity based on the performance specification and the transformation generation element set. In the power amplifier optimization method provided by the embodiment of the present application, the construction of a geometric optimization structure for constructing a trade-off relationship between the characterization efficiency and the linearity based on the performance specification and the transformation generation element set includes: Defining an efficiency target sub-manifold and a linearity target sub-manifold on the Riemann manifold, respectively, based on the performance specification; Defining an intersection space between the efficiency target sub-manifold and the linearity target sub-manifold as pareto candidate manifolds for representing a trade-off relationship between efficiency and linearity; and carrying out constraint and dimension reduction on the pareto candidate manifold by the transformation generat