External Noise Estimation in Communication Channels
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Solution Overview
Problem
Existing techniques for estimating external noise in communication channels fail to accurately account for the variability in noise contributions and responses of transmitter and receiver devices, leading to inaccurate estimates of external noise.
Innovation Solution
A method that calculates external noise by using a parameterized model to account for the noise contributions and responses of transmitter and receiver devices, incorporating current properties and calibration data to determine applicable parameter values and relationships between effective and external noise.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing techniques are used to estimate external noise, then the estimation process is simple, but the accuracy of external noise estimation is poor
Solution Approach 1:
The patent applies parameter changes by introducing multiple variable parameters (internal noise parameters, eye closure parameters) that represent different contributions to effective noise. The system stores multiple possible values for each parameter and selects applicable values based on current device properties, allowing the estimation to adapt to different operating conditions and improve accuracy without requiring a completely complex new system architecture.
Solution Approach 2:
The patent segments the effective noise into distinct components through separate parameters: internal noise parameters representing transmitter and receiver contributions, and eye closure parameters representing noise enhancement. This segmentation allows each component to be modeled and adjusted independently, improving overall estimation accuracy while maintaining manageable system complexity through modular parameter handling.
2Measurement precision
If a parameterized model with multiple variable parameters is used, then the accuracy of external noise estimation is improved, but the device complexity increases
Solution Approach 1:
The patent applies preliminary action by pre-storing multiple possible values for each variable parameter and pre-establishing the relationships between parameters and device properties. During operation, the system simply selects the applicable values based on current properties rather than calculating them in real-time, which reduces computational complexity while maintaining high estimation accuracy.
Solution Approach 2:
The system applies self-service by automatically selecting applicable parameter values based on current device properties without requiring external intervention. The stored relationships between parameters and device properties enable the system to autonomously determine which parameter values to use, reducing operational complexity while maintaining accuracy.
Data Source
AI summary
A system configured to perform a method for estimating external noise in a communication channel between a transmitter and a receiver is described. The method comprises obtaining a measurement of effective noise on decoded symbols at the receiver, the decoded symbols comprising noisy versions of symbols conveyed by a communication signal transmitted over the communication channel. The method further comprises storing a representation of a relationship between the effective noise, external noise in the communication channel, and one or more variable parameters. The method further comprises storing applicable values of the variable parameters, wherein each applicable value is associated with current properties of the transmitter or current properties of the receiver or both. The method further comprises calculating an estimate of the external noise in the communication channel using the effective noise, the applicable values of the variable parameters, and the representation of the relationship.