Envelope Feedback Carrier Cancellation for Unknown Signal Interference
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Solution Overview
Problem
Communications systems face interference issues due to limited frequency resources, leading to financial losses, especially in the satellite industry, as traditional methods of separating signals by frequency or distance reduce data throughput and are ineffective against unknown or hostile interfering signals.
Innovation Solution
The method involves processing input signals in both frequency and time domains to characterize and separate desired signals from interfering signals without prior knowledge of the interfering signal characteristics, generating a clean carrier copy, inverting and correcting it for gain and phase, and summing it with the input signal to produce an output with adequate signal-to-noise ratio, thereby reducing interference and maximizing data throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If signals are separated by frequency or physical distance to reduce interference, then interference reduction is achieved, but information transmission efficiency decreases
Solution Approach 1:
The patent extracts the interfering signal from the composite signal by characterizing its properties (frequency, amplitude, phase) and separates it from the desired signal. This extraction approach removes interference without requiring frequency separation or physical distance, thus maintaining information transmission efficiency while achieving interference reduction.
Solution Approach 2:
The patent introduces signal characterization as an intermediary process that analyzes the composite signal to identify and separate interfering components. This intermediary characterization step enables precise interference removal while preserving the desired signal, avoiding the need for inefficient frequency or spatial separation.
2Object-affected harmful factors
If traditional signal separation methods are used to reduce interference, then interference reduction is achieved, but the methods are ineffective against unknown or hostile interfering signals
Solution Approach 1:
The patent employs self-service through adaptive signal characterization that automatically analyzes and identifies interfering signal properties without requiring prior knowledge or manual configuration. The system serves itself by detecting, characterizing, and canceling unknown or hostile interfering signals in real-time, making it highly adaptable to various interference scenarios.
Solution Approach 2:
The patent dynamically changes signal parameters (frequency, amplitude, phase) through adaptive characterization to match and cancel interfering signals. By continuously adjusting these parameters based on real-time signal analysis, the system becomes effective against unknown and changing interference patterns without requiring pre-programmed knowledge.
3Object-affected harmful factors
If frequency separation is used to reduce interference, then interference reduction is achieved, but the amount of information that can be transmitted is reduced
Solution Approach 1:
Instead of allocating separate frequency bands for different signals (which reduces total information capacity), the patent extracts interfering signals from the shared frequency spectrum through characterization and cancellation. This allows multiple signals to coexist in the same frequency band, maximizing the quantity of information that can be transmitted while maintaining interference reduction.
Solution Approach 2:
The patent merges multiple signals including desired and interfering signals into a shared frequency spectrum, using signal characterization to manage interference. This combining approach increases information transmission capacity compared to traditional frequency separation, as the full spectrum is utilized for data transmission while interference is managed through adaptive cancellation.
Data Source
AI summary
Reducing interference on an input signal which includes a desired signal and an interfering signal, including: processing the input signal in frequency and time domain to separate the desired signal from the interfering signal by: characterizing the interfering signal without a priori knowledge of characteristics of the interfering signal; generating a clean copy of a carrier of the input signal using the characterized interfering signal; inverting the clean copy of the carrier and correcting for gain and phase; and summing the inverted clean copy of the carrier with the input signal to generate an output signal which is substantially close to the desired signal, wherein the generated output signal has adequate signal-to-noise ratio (SNR) so that it can be processed.