DPD Capture Selection Using Change Matrices for Frequency Hopping
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional digital pre-distortion (DPD) adaptation techniques for cellular base station power amplifiers, especially in multicarrier wireless frequency hopping systems, often fall short in providing optimal performance stability and require intensive processing and hardware resources, as they rely on peak and RMS power metrics which are inadequate for systems with significant nonlinear memory.
Innovation Solution
A system and method that evaluates signal captures for suitability using amplitude change matrices, comparing them to reference matrices to select suitable captures for DPD adaptation, and concatenates signal captures from different hopping patterns to form a single adaptation solution, while incorporating an error modeling component to cancel linear errors, reducing the need for extensive hardware and processing resources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional peak and RMS power metrics are used for signal capture selection in DPD adaptation, then the system is simple to implement, but the performance stability is insufficient for systems with significant nonlinear memory
Solution Approach 1:
The patent changes the selection parameters from conventional peak and RMS power metrics to amplitude change matrices that capture the temporal evolution of signal amplitudes. This transformation enables more accurate characterization of nonlinear memory effects while maintaining a systematic selection framework.
Solution Approach 2:
The patent replaces the simple threshold-based capture selection mechanism with a matrix-comparison-based selection system. By substituting the mechanical/threshold-based approach with a mathematical matrix comparison approach, the system achieves better performance stability for nonlinear memory systems.
2Reliability
If separate DPD adaptation is performed for each hopping pattern in frequency hopping systems, then the performance for each pattern is optimized, but the processing and hardware resources required increase significantly
Solution Approach 1:
The patent merges the DPD adaptation process across multiple frequency hopping patterns by concatenating captures from different patterns and performing a single unified adaptation. This combining approach maintains performance while significantly reducing processing overhead and hardware resource requirements compared to separate adaptations for each pattern.
Solution Approach 2:
The patent creates a universal DPD adaptation solution that works across multiple frequency hopping patterns simultaneously. By developing a multi-functional adaptation approach that handles diverse hopping patterns through a single process, the system achieves broad applicability without requiring pattern-specific processing resources.
3Reliability
If conventional DPD adaptation methods are used in multicarrier wireless hopping systems, then the implementation is straightforward, but the adjacent channel leakage ratio performance does not meet stringent regulatory requirements
Solution Approach 1:
The patent introduces amplitude change matrices as an intermediary representation between the raw signal captures and the DPD adaptation process. This intermediate matrix formulation enables more precise capture selection and evaluation, leading to improved ACLR performance that meets stringent regulatory requirements while maintaining a structured implementation approach.
Data Source
AI summary
A digital pre-distortion component includes: a first capturing component that captures a first sample set of data; a first generating component that generates a first change matrix associated with a portion of the first sample set of data; a first memory component that stores the first change matrix; a second capturing component that captures a second sample set of data; a second generating component that generates a second change matrix associated with a portion of the second sample set of data; a second memory component that stores the second change matrix; a third capturing component that captures a third sample set of data; a third generating component that generates a third change matrix associated with a portion of the third sample set of data; a comparing component that compares the third change matrix with the first change matrix to obtain a first comparison, and compares the third change matrix with the second change matrix to obtain a second comparison; and an adapting component that adapts the digital pre-distortion component with the third sample set of data based on one of the first comparison and the second comparison.