Embedded Training Signals for Stable 5G Power Amplifier DPD
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Solution Overview
Problem
In wireless communication systems, especially in 5G new radio access technology, the dynamic nature of service signals with frequent changes in power, frequency, and bandwidth poses challenges for digital predistortion (DPD) technology and detection technologies, leading to instability and performance issues due to limited data sample points and dependence on service signal characteristics, and the limitations of sending auxiliary sequence signals in idle time slots.
Innovation Solution
A signal processing method and device that generates a training signal with adjusted power, adds it to a service signal, and collects the combined signal output by a power amplifier to extract and process a training signal, enabling effective DPD model correction and running state detection without relying on idle time slots, thus improving system stability and performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If auxiliary sequence signals are sent in idle time slots to correct DPD model, then DPD compensation effect is improved under abrupt service signal characteristics, but system complexity increases and not all signal systems have idle time slots
Solution Approach 1:
The patent merges the training signal with the service signal by superposition, creating a combined signal that carries both service information and training information. This eliminates the need for separate idle time slots while still enabling DPD model correction through the training signal components embedded in the combined signal.
Solution Approach 2:
The combined signal serves multiple functions simultaneously: it acts as both the service signal for normal communication and the training signal for DPD model correction. This multi-functionality removes the dependency on idle time slots and makes the solution applicable to all signal systems regardless of their idle slot structure.
2Adaptability or versatility
If service signal characteristics are used for DPD correction, then the system adapts to actual service conditions, but DPD compensation effect deteriorates when service signal characteristics change suddenly
Solution Approach 1:
The patent segments the combined signal to separately identify and process the training signal components from the service signal components. By extracting the training signal portion, the system can correct DPD models using dedicated training data that is not affected by service signal characteristic changes, thereby maintaining stability while still adapting to actual conditions.
Solution Approach 2:
The training signal acts as an intermediary that bridges the service signal and the DPD model correction process. It provides a stable reference that is independent of service signal variations, enabling reliable DPD compensation even when service characteristics change abruptly.
3Reliability
If detection technologies are used during running process, then system stability is improved and alarms are released timely, but false alarms occur when service signal undergoes sudden change
Solution Approach 1:
The training signal serves as an intermediary reference for detection technologies, providing a stable basis that is independent of service signal variations. This enables accurate detection and reduces false alarms by distinguishing between actual anomalies and normal service signal fluctuations.
Solution Approach 2:
The patent introduces distinct signal characteristics (analogous to color changes) by embedding training signals with specific properties that differ from service signals. This allows detection systems to easily distinguish training signal components from service signal components, improving detection accuracy and reducing false alarms.
Data Source
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AI summary
A signal processing method and device, and a storage medium are disclosed. The method comprises: generating a first training signal, adjusting a power of the first training signal, adding a first training signal with an adjusted power into a first service signal to obtain a first combined signal; collecting a second combined signal outputted by a power amplifier or reflected by a post-stage circuit, extracting a second training signal from the second combined signal, and performing a signal processing based on the second training signal.