Wideband Impulse Noise Measurement via Channel Segmentation
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Solution Overview
Problem
Current methods for measuring impulse noise over a wideband spectrum in cable networks require simultaneous traffic stoppage on multiple channels, which degrades service quality and makes accurate measurement difficult due to reduced capture time.
Innovation Solution
The technique involves a Cable Modem Termination System (CMTS) stopping traffic on specific channels, capturing time domain samples, and converting them to the frequency domain for summation, allowing impulse noise measurement across a wideband spectrum without stopping all traffic, using Fourier Transforms and inverse Fourier Transforms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traffic is simultaneously stopped on all channels to measure wideband impulse noise, then measurement accuracy is improved, but service quality deteriorates and capture time is reduced
Solution Approach 1:
The patent divides the wideband spectrum into multiple smaller channel groups. Instead of stopping traffic on all channels simultaneously, the system segments channels and stops traffic only on selected groups sequentially. This allows impulse noise measurement across the entire wideband spectrum while maintaining traffic on other channels, thus preserving service quality while achieving comprehensive noise characterization.
Solution Approach 2:
The patent implements periodic traffic stoppage on different channel groups in a sequential manner. Each channel group is measured during its designated time slot, with traffic restored between measurements. This periodic action ensures that all channels are eventually measured for impulse noise while maintaining continuous service on unmeasured channels, resolving the contradiction between measurement completeness and service continuity.
2Measurement precision
If traffic is simultaneously stopped on all channels to measure wideband impulse noise, then complete spectrum coverage is achieved, but capture time is reduced making accurate measurement difficult
Solution Approach 1:
By segmenting the channel spectrum into multiple groups and measuring each group sequentially with traffic stopped only on that specific group, the system extends the effective capture time for each measurement. Since traffic stops are brief and localized to specific channel groups rather than all channels simultaneously, each capture window can be sufficiently long to accurately characterize impulse noise while still achieving complete wideband coverage across all groups.
3Reliability
If traffic is stopped on multiple channels simultaneously, then impulse noise can be isolated, but the number of affected channels increases reducing service quality
Solution Approach 1:
The patent segments channels into multiple groups and isolates impulse noise by stopping traffic only on the currently active group while maintaining traffic on all other groups. This segmented approach limits the number of channels affected at any given time to just one group, preserving service quality on the majority of channels while still achieving effective impulse noise isolation on the measured group.
Solution Approach 2:
The patent uses frequency domain analysis as an intermediary to identify and isolate impulse noise characteristics. By converting time-domain signals to frequency domain representations and analyzing spectral content, the system can identify impulse noise without needing to stop traffic on all channels, thus maintaining service quality while achieving noise isolation through analytical separation rather than physical traffic stoppage.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables accurate measurement of impulse noise over a wideband spectrum while maintaining signal transmission, improving service quality by isolating and quantifying noise without interrupting all channels.
Implementation Method 1
converting them to the frequency domain for summation, allowing impulse noise measurement across a wideband spectrum using Fourier Transforms
Data Source
AI summary
Methods, systems, and computer readable media can be operable to determine impulse noise over a wide spectrum based upon measurements of impulse noise associated with each of a plurality of channels. Impulse noise can be observed on each of the plurality of channels and the observed impulse noise signals can be summed together. In summing observed impulse noise signals, a Fourier transform can be used to convert the observed impulse noises from a time domain representation to a frequency domain representation. The sum of the impulse noises can represent the impulse noise existing on the wide spectrum and can be converted from a frequency domain representation to a time domain representation using an inverse Fourier transform.