MIMO Power Amplifier Predistortion Using Time-Division Feedback
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Solution Overview
Problem
Existing signal distortion pre-correction methods for MIMO millimeter wave communication systems face challenges in ensuring consistency among power amplifiers, output load mismatch, and antenna coupling interference, which increase system complexity and power consumption, and existing methods fail to adequately address these factors such as output load mismatch and inter-antenna coupling interference effectively.
Innovation Solution
A method and device for signal distortion pre-correction that includes time-division collection of output signals, constructs and weighting signal matrices, and performs linearly processing the efficacy of the feedback signals, and constructs a correction parameter, and performs linearly processes multiple paths of data, establishing a correction model, and extracting model parameters, and the antenna coupling interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If digital pre-distortion technology is used to correct nonlinear distortion, then distortion improvement effect is achieved, but system complexity increases due to additional processing requirements
Solution Approach 1:
The patent segments the distortion correction process into distinct functional modules: a correction parameter trainer that processes feedback signals to generate correction parameters, and a signal distortion correction network that applies these parameters. This modular segmentation allows independent optimization of each component while managing overall system complexity.
Solution Approach 2:
The patent implements preliminary action by pre-calculating and storing correction parameters in a correction parameter trainer before the actual signal transmission. These pre-computed parameters are then applied during signal processing, avoiding the need for real-time complex calculations and reducing operational system complexity.
2Use of energy by moving object
If power amplifier operates near saturated region to improve efficiency, then power consumption is reduced, but nonlinear distortion and memory effects increase
Solution Approach 1:
The patent applies preliminary anti-action by introducing a correction parameter trainer that pre-computes distortion correction parameters based on feedback signals from the power amplifier operating in the saturated region. These parameters are designed to counteract the nonlinear distortion and memory effects, allowing the power amplifier to operate efficiently while maintaining signal linearity through pre-corrected transmission signals.
3Productivity
If multiple power amplifiers are used to increase transmission capacity, then system throughput is improved, but consistency requirements and coupling interference increase
Solution Approach 1:
The patent implements feedback mechanisms where feedback signals from multiple power amplifiers are collected and processed by the correction parameter trainer. This feedback loop enables the system to automatically adjust correction parameters for each amplifier, compensating for individual variations and coupling interference, thereby reducing consistency requirements while maintaining high transmission capacity.
Data Source
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AI summary
Provided in the present disclosure are a device, method, and system for signal distortion pre-correction, and a composite system. The device for signal distortion pre-correction comprises: a signal distortion correction network module, a correction parameter trainer, a data collecting module, and a first conversion module. The data collecting module is connected to an external power amplifier module. The data collecting module is configured for the time-division collection of output signals of multiple channels of the power amplifier module and to output multiple analog feedback signals to the first conversion module. The first conversion module is configured to convert the multiple analog feedback signals into multiple digital feedback signals and to transmit to the correction parameter trainer. The correction parameter trainer is configured to determine a correction parameter on the basis of the multiple digital feedback signals and of a forward signal inputted and to output the correction parameter to the signal distortion correction network module. And, the signal distortion correction network module is configured to correct the forward signal on the basis of the correction parameter and then to output a pre-corrected signal.