DSL Line Length Estimation Using Attenuation Data Transformation

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Solution Overview

Problem

The existing methods for estimating the electrical length of a digital subscriber line are affected by physical impairments and noise, leading to inaccurate measurements that do not reflect the true line length.

Innovation Solution

A method that involves gathering attenuation data, applying a transform function, removing data spikes, and performing noise floor truncation to estimate a compensated electrical line length, which is representative of the attenuation value at or above a predetermined frequency, thereby compensating for impairments and providing a more accurate reflection of the physical length.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If attenuation data is used to estimate electrical line length, then the measurement can be obtained, but the measurement precision deteriorates due to physical impairments and noise

Engineering Contradiction:
Improveelectrical line length measurement accuracyVSAvoidphysical impairments and noise
Core Design Contradiction:
Measurement precisionVSObject-affected harmful factors

Solution Approach 1:

The patent segments the frequency spectrum into multiple discrete frequency points for measurement. By measuring attenuation at multiple frequencies and selecting specific frequency points (e.g., highest frequency, or frequencies above noise floor), the method isolates reliable measurement data from unreliable data affected by noise and impairments, thereby improving measurement precision while accounting for harmful factors.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent changes the measurement parameter from a single fixed frequency (1 MHz) to multiple frequency points across the spectrum. By measuring at various frequencies and applying transformation functions, the method adapts the measurement to account for frequency-dependent impairments and noise characteristics, improving the accuracy of electrical line length estimation.

Inventive Principle:
Principle #35Parameter changes

2Reliability

If kl0 measurement is performed at 1 MHz, then the electrical length can be determined, but the reliability deteriorates because impairments cause measured kl0 to be higher than the true value

Engineering Contradiction:
Improvekl0 measurement reliabilityVSAvoidkl0 value accuracy
Core Design Contradiction:
ReliabilityVSMeasurement precision

Solution Approach 1:

The patent performs preliminary measurements at multiple frequency points before determining the final kl0 value. By gathering attenuation data across the frequency spectrum first, then applying transformation and selection criteria, the method prepares reliable measurement data in advance, ensuring that the final kl0 estimation is based on high-quality data rather than being directly affected by impairments at the measurement frequency.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent uses feedback by comparing attenuation values at different frequency points and using transformation functions to identify reliable measurements. The method continuously refines the kl0 estimate by using information from multiple frequency measurements to correct for impairments, creating a feedback loop that improves measurement reliability and accuracy.

Inventive Principle:
Principle #23Feedback

Data Source

PatentUS11043987B2Estimating the electrical line length of a digital subscriber line
Publication Date: 2021.06.22 BRITISH TELECOM PLC
  • US11043987B2 patent drawing
  • US11043987B2 patent drawing
  • US11043987B2 patent drawing

AI summary

The invention relates to a method of estimating an electrical length of a line, which is the signal loss measured at a predetermined frequency such as 1 MHz, compensated for impairments on the line. Firstly, the H log(f) data representing the attenuation plotted against frequency is gathered for the line. Secondly, data transformation is performed on the H log(f) data, such as by dividing by the square root of frequency. This compensates for changes in the loss as a function of frequency, allowing values of the loss from a broader range of frequencies to be used. Thirdly, data spike removal is performed on the transformed data, removing spikes that can arise from a number of factors such as excessive noise. The resulting data is then used to estimate a value for compensated k10.