Impulse Noise Parameter Tracking in Multi-Carrier Receivers
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Solution Overview
Problem
Existing communication systems, particularly DMT systems, face challenges in accurately tracking and compensating for periodic Impulse Noise, which leads to high bit error rates due to the assumption of additive, white, Gaussian noise, and inadequate channel estimation for non-stationary impairments like Impulse Noise.
Innovation Solution
A method and apparatus for measuring and tracking Impulse Noise parameters, including period, offset, and duration, are developed to predict and adaptively update these parameters in real-time, enabling better prediction and compensation for Impulse Noise in communication systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If bit-loading algorithms are designed based on the assumption of additive, white, Gaussian noise, then the system can achieve optimal performance under stationary noise conditions, but the effects of impulse noise are underestimated resulting in excessive error rates
Solution Approach 1:
The patent implements dynamic noise characterization by continuously tracking impulse noise parameters (amplitude, duration, period, offset) and adapting the bit-loading algorithm in real-time. The system transitions from static Gaussian noise assumptions to dynamic impulse noise modeling, allowing the communication system to adapt its transmission parameters based on currently measured noise conditions rather than relying on fixed statistical assumptions
Solution Approach 2:
The system changes the fundamental parameters used for noise characterization from Gaussian statistical parameters (mean, variance) to impulse noise parameters (amplitude, duration, period, offset). This parameter transformation enables the bit-loading algorithm to accurately predict error rates under impulse noise conditions by using measured impulse characteristics rather than assuming Gaussian distribution
2Measurement precision
If channel estimation procedures are optimized for stationary impairments such as additive, white, Gaussian noise, then performance is maximized under those conditions, but the procedures are poor at estimating non-stationary or cyclo-stationary impairments such as impulse noise
Solution Approach 1:
The patent performs preliminary characterization of impulse noise parameters (amplitude, duration, period, offset) before the actual data transmission begins. By measuring and storing these parameters during a training phase, the system prepares accurate noise models in advance, enabling subsequent channel estimation and bit-loading decisions to account for impulse noise characteristics rather than discovering them too late during data transmission
Solution Approach 2:
The system introduces an intermediary noise characterization module that sits between the physical channel and the channel estimation algorithm. This module measures impulse noise parameters and provides corrected noise models to the channel estimation procedure, acting as a mediator that translates raw impulse noise measurements into useful information for improving estimation accuracy under non-stationary conditions
Data Source
AI summary
A method and apparatus for measuring and tracking Impulse Noise parameters in a communication system are described. The method includes estimating one or more parameters of the impulse noise, the parameters including a period, an offset and duration of the impulse noise.