Neural Network Phase Adjustment for Constant Envelope Multiplexing
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Solution Overview
Problem
Satellite communication systems face challenges in maintaining power-added efficiency of amplifiers due to nonlinear distortion caused by varying signal amplitudes during multiplexing, which degrades over time due to analog circuit changes, increasing design complexity.
Innovation Solution
A transmitting apparatus utilizing a neural network to adjust parameters based on analog characteristics and constraints, generating a multiplex signal that compensates for analog circuit changes, thereby maintaining signal quality over time without increasing design difficulty.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If simple multiplexing is used to combine two or more signals, then the multiplexing process is simple, but the signal amplitudes become different and the multiplexed signal does not become a constant envelope, causing waveform distortion and increased PAPR
Solution Approach 1:
The patent applies preliminary action by pre-calculating and adjusting the phase of each signal component before multiplexing. The phase adjustment is performed in advance based on the signal characteristics, ensuring that the multiplexed signal maintains constant envelope without requiring complex real-time processing during transmission.
2Loss of energy
If the output power of the amplifier is increased to improve power-added efficiency, then the power-added efficiency improves, but nonlinear distortion becomes unacceptable when the output power exceeds a certain threshold
Solution Approach 1:
The patent changes the parameter of the transmission signal from variable envelope to constant envelope. By maintaining a constant envelope in the multiplexed signal, the amplifier can operate in the nonlinear saturation region without generating unacceptable distortion, thereby enabling higher output power and improved power-added efficiency.
Solution Approach 2:
The patent introduces dynamic phase adjustment to the multiplexing process. The phase of each signal component is dynamically adjusted based on its characteristics and the characteristics of other multiplexed signals, allowing the system to adaptively maintain constant envelope while accommodating different signal power allocations.
3Loss of energy
If the POCET method is used to generate a constant envelope multiplexed signal, then the power-added efficiency improves, but if analog circuit characteristics change due to long-term operation, the multiplexed signal will not remain constant envelope, reducing power-added efficiency
Solution Approach 1:
The patent implements feedback by continuously monitoring the actual characteristics of the analog transmitting unit and using this information to adjust the phase adjustment parameters. This closed-loop approach ensures that even when analog circuit characteristics drift due to long-term operation, the system can adapt and maintain constant envelope modulation, preserving both power-added efficiency and signal quality.
4Reliability
If monitoring of analog circuits is performed to generate multiplex signals that take analog characteristics into consideration, then the signal quality is maintained, but the design difficulty increases due to the need to formulate analog characteristics and determine mathematical optimization
Solution Approach 1:
The patent introduces an intermediary component that acts as a bridge between the digital signal processing and the analog transmitting unit. This intermediary handles the complex tasks of characteristic formulation and mathematical optimization, translating analog circuit characteristics into phase adjustment parameters without requiring the main system to directly engage in complex mathematical formulations, thereby reducing overall design difficulty.
Data Source
AI summary
A transmitting apparatus includes an analog transmitting unit that performs analog processing on a multiplex signal in which two or more signals are multiplexed and generates a transmission signal, and a signal multiplexing and learning unit that multiplexes the two or more signals with a neural network whose parameters have been adjusted based on the analog characteristics of the analog transmitting unit and constraints on the multiplex signal and generates the multiplex signal.