Iterative Interference Cancellation for Digital Signal Reception
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Solution Overview
Problem
Current digital communication systems fail to effectively extract useful information from interfering components, treating them as additional noise, which reduces the probability of successful signal detection and increases bit errors due to non-linear distortion and interference.
Innovation Solution
A receiver design that estimates and iteratively cancels individual interfering components using estimated received constellation centroids and respective scaling factors, rather than treating interference as noise, thereby improving error rates and power efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If interfering components are treated as additional noise, then the receiver design is simple, but the probability of successful signal detection decreases and bit errors increase
Solution Approach 1:
The patent segments the received signal into useful signal components and interfering components by estimating received constellation centroids for different signal hypotheses. This segmentation allows the receiver to separately process and evaluate each component, improving detection reliability without requiring overly complex processing of the entire signal as a single entity.
Solution Approach 2:
The patent converts the harmful interfering components into beneficial information by estimating their characteristics through received constellation centroid analysis. Instead of simply treating interference as noise to be rejected, the method extracts useful information about the interfering signals to improve overall detection accuracy through iterative cancellation.
2Use of energy by moving object
If interfering components are treated as additional noise, then the processing is simple, but power efficiency decreases
Solution Approach 1:
The patent performs preliminary estimation of received constellation centroids and interfering component characteristics before the main detection and decoding processes. This preliminary action allows subsequent processing stages to work with cleaner, pre-processed signals, reducing the overall computational burden and improving power efficiency throughout the reception chain.
Solution Approach 2:
The patent implements iterative interference cancellation where the receiver continuously refines its estimate of interfering components based on detection results, then uses these refined estimates to improve subsequent detections. This feedback loop progressively improves power efficiency by reducing the energy needed for retransmissions and error correction.
3Reliability
If individual interfering components are estimated and cancelled, then interference cancellation gains are maximized, but the processing complexity increases
Solution Approach 1:
The patent applies local quality by estimating received constellation centroids specifically for different signal hypotheses rather than treating the entire signal uniformly. This localized approach focuses computational resources on the most relevant signal components, achieving better error rate performance without proportionally increasing overall processing complexity.
Solution Approach 2:
The patent implements iterative interference cancellation where the processing is performed to the extent necessary to achieve detection thresholds. The iteration stops when sufficient cancellation is achieved, avoiding excessive processing while still obtaining meaningful interference cancellation gains for improved error rates.
Data Source
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AI summary
Method for receiving a digital signal in a digital communication system The method for receiving a digital signal in a digital communication systems with linear and/or non-linear distortion comprises receiving the digital signal transmitted via a transmission channel, wherein the received signal including an interfering component, and processing the received signal for providing adjacent channel interference (ACI) cancellation, including intermodulation interference (IMI) and residual inter-symbol interference (ISI) cancellation, wherein processing comprises iteratively performing both estimation of the interfering component and subtraction of the estimated interfering component from the received signal.