Linear Filter Separation in DPD for Lower-Complexity Wireless Transmission
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Solution Overview
Problem
Conventional transmission circuitry suffers from nonlinear distortions introduced by power amplifiers, leading to noise and transmission errors, which are not effectively addressed by existing digital pre-distortion (DPD) components, particularly in terms of complexity and computational resource demand.
Innovation Solution
A method is introduced to configure transmission circuitry using a composite DPD kernel design, separating linear and nonlinear kernels through iterative analysis and filter separation processes, resulting in a pre-DPD filter and DPD unit that reduces signal distortion with a reduced number of kernels, thereby simplifying the design and reducing computational demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional DPD components are used to compensate for nonlinear distortions, then transmission accuracy is improved, but device complexity and computational resource demand increase
Solution Approach 1:
The patent segments the DPD component into two separate parts: a pre-DPD filter that performs linear filtering, and a DPD unit that performs nonlinear distortion compensation. This segmentation allows each component to be optimized independently, reducing overall complexity while maintaining transmission accuracy.
Solution Approach 2:
The patent extracts the linear filtering function from the composite DPD kernel and implements it separately as a pre-DPD filter. This extraction removes the linear component from the nonlinear DPD processing, reducing the computational burden on the DPD unit while preserving the ability to compensate for nonlinear distortions.
2Reliability
If more kernels are used in DPD design, then distortion compensation performance is improved, but computational resources and processing time increase
Solution Approach 1:
The patent segments the kernel set into linear kernels (implemented in the pre-DPD filter) and nonlinear kernels (implemented in the DPD unit). This segmentation reduces the number of kernels that need to be processed computationally intensively, lowering energy consumption while maintaining compensation performance.
Solution Approach 2:
The patent changes the parameter representation by separating linear and nonlinear kernel coefficients, allowing the system to use fewer nonlinear kernels while achieving the same overall performance through the combination of pre-DPD filtering and DPD processing.
3Measurement precision
If a composite DPD kernel design is used, then transmission accuracy is improved, but ease of manufacture and implementation deteriorate
Solution Approach 1:
The patent segments the implementation into distinct modules: a pre-DPD filter stage and a DPD unit stage. This segmentation makes the system easier to manufacture and implement by allowing each module to be designed, tested, and optimized independently, while still achieving the benefits of composite kernel design.
Data Source
AI summary
This disclosure provides systems, methods, and apparatus, including computer programs encoded on computer-readable media, for configuring components of transmission circuitry. In one aspect, a first set of linear kernels and a first set of nonlinear kernels associated with a composite digital pre-distortion (DPD) kernel design is determined based on a first iteration of a DPD kernel analysis process. The first set of linear kernels is separated from the first set of nonlinear kernels according to a first iteration of a linear filter separation process. A final set of linear kernels and a final set of nonlinear kernels are determined based on one or more additional iterations of the DPD kernel analysis process and the linear filter separation process. A pre-DPD filter for the transmission circuitry is configured using a final set of filter coefficients derived based on the final set of linear kernels.