Envelope Feedback Interference Reduction for Data Throughput
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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 physical distance reduce data throughput and are ineffective against unknown or hostile interference sources.
Innovation Solution
The envelope feedback interference reduction technique, which is frequency-independent and 'blind', involves characterizing interfering signals without prior knowledge, generating a clean copy of the wanted signal, inverting and correcting the interfering carrier, and summing it with the original signal to reduce interference, allowing for real-time cancellation 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 is reduced, but data throughput is reduced
Solution Approach 1:
The patent extracts the interfering signal from the composite signal by characterizing its envelope properties and separating it through feedback processing, allowing the wanted signal to be recovered without frequency or spatial separation
Solution Approach 2:
The patent employs feedback mechanisms where the characterized interfering signal is fed back through envelope detection and reconstruction processes to cancel the interference in real-time, enabling continuous interference reduction without sacrificing throughput
2Object-affected harmful factors
If traditional signal separation methods are used, then interference from known sources is reduced, but they are ineffective against unknown or hostile interference sources
Solution Approach 1:
The system performs self-characterization of the interfering signal by automatically detecting and analyzing its envelope properties without requiring external information about the interference source, enabling it to adapt to unknown or hostile sources
Solution Approach 2:
The patent changes the approach from frequency-based separation to envelope-based characterization, allowing the system to adapt to different interference types by analyzing their temporal envelope properties rather than relying on fixed frequency assignments
Data Source
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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.