AI Demodulation Correction for Satellite I/Q Imbalance and Noise
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Solution Overview
Problem
Existing signal demodulation circuits in satellite terminals face limitations in mitigating signal impairments, leading to constrained data throughput and modulation type restrictions, particularly when adhering to standards like DVB-S2, due to independent operation and limited collective mitigation capabilities.
Innovation Solution
A method and apparatus that applies correction factors, including deep learning functions, to demodulation support elements in satellite terminals to mitigate signal impairments such as noise and interference, enhancing data throughput and bandwidth efficiency by adjusting demodulator performance in real time or using stored data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional signal demodulation circuits are used, then the device complexity is reduced, but the data throughput and impairment mitigation capability are limited
Solution Approach 1:
The patent combines multiple demodulation support circuits into a unified system that processes signals collectively. The I/Q imbalance correction circuit, non-linear noise cancellation circuit, and other support circuits are integrated to work together on the same signal path, enabling shared processing resources and coordinated impairment mitigation across different signal conditions.
Solution Approach 2:
The demodulation support circuits are designed to handle multiple types of impairments simultaneously. The same circuit architecture can correct I/Q imbalance, cancel non-linear noise, and adapt to different modulation schemes, making the system versatile across various signal conditions and communication standards.
2Reliability
If signal demodulation circuits operate independently, then the device complexity is reduced, but the collective mitigation capability is limited
Solution Approach 1:
The patent implements feedback mechanisms where demodulation support circuits exchange information about signal conditions and correction parameters. The circuits monitor each other's performance and adjust their operation based on feedback from the overall system performance, enabling coordinated optimization of impairment mitigation.
Solution Approach 2:
Multiple demodulation support circuits are merged into a cooperative system where they share processing loads and coordinate their correction actions. This allows the circuits to collectively mitigate impairments that would be difficult for any single circuit to handle alone.
3Reliability
If correction factors are applied in real-time, then the impairment mitigation performance is improved, but the processing time and computational load increase
Solution Approach 1:
The system performs preliminary calculations and prepares correction factors in advance based on channel conditions and signal characteristics. By pre-computing correction parameters before they are critically needed, the system reduces real-time processing delays while maintaining accurate signal correction.
Solution Approach 2:
The demodulation support circuits use their own output signals and observed error patterns to generate correction factors autonomously. This self-service approach eliminates the need for extensive external processing and reduces computational overhead by leveraging locally available information.
Data Source
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AI summary
Embodiments for a method and apparatus are described for non-linear noise cancelation and in phase quadrature (I/Q) modulation error correction. The embodiments include receiving a signal, the signal including a plurality of data segments. A first data segment in the received signal is demodulated and decoded to produce a recovered segment of a bitstream. At least one correction factor is applied to a first demodulation support element and a second demodulation support element during demodulation of a second data segment in the received signal. The correction factor is determined based on the received first data segment and a representation of the first data segment reconstructed from the recovered segment of the bitstream.