Spectrally Selective Signal Perturbations for Communication Impairment Estimation
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Solution Overview
Problem
Communication systems face challenges in accurately measuring noise levels due to signal degradation from various impairments like polarization mode dispersion, amplified spontaneous emission, and nonlinear noise, which affect transmission rates and system health.
Innovation Solution
A communication system is designed with circuitry to generate perturbed signals by modifying the amplitude or phase of the spectrum in specific spectral regions, allowing for measurements that estimate noise floors and impairments, using devices like electrical or optical spectrum analyzers to quantify noise contributions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional noise measurement methods are used in communication systems, then the measurement process is simple, but the measurement precision is insufficient due to signal degradation from impairments like polarization mode dispersion, amplified spontaneous emission, and nonlinear noise
Solution Approach 1:
The patent segments the spectrum into multiple spectral regions and applies different perturbations to each region. By dividing the measurement into multiple targeted spectral segments rather than attempting a comprehensive simultaneous measurement, the system achieves higher precision in identifying specific noise sources while managing complexity through focused, region-by-region analysis
Solution Approach 2:
The patent changes spectral parameters by applying controlled perturbations to specific spectral regions. By modifying the signal in targeted frequency bands and observing the resulting changes in noise measurements, the system can precisely identify and quantify different noise sources (such as amplifier spontaneous emission versus nonlinear noise) that would be indistinguishable using traditional fixed-parameter measurement methods
2Loss of information
If perturbed signals are used to estimate noise floors, then the understanding of noise environment is improved, but the device complexity increases due to additional signal processing requirements
Solution Approach 1:
The patent applies preliminary perturbations to the signal before transmission through the communication system. By pre-modifying the signal with known spectral perturbations and then measuring the output, the system can isolate and identify noise sources that would otherwise be mixed with the signal. This preliminary action enables accurate noise characterization without requiring complex real-time processing during normal operation
Solution Approach 2:
The patent uses feedback by comparing the perturbed signal measurements with expected results to identify noise sources. The system measures the output signal after perturbation, compares it with the known input perturbation, and uses this feedback to calculate and identify specific noise contributions from different system components, thereby reducing information loss about the noise environment
Data Source
AI summary
A communication system is configured to generate a perturbed signal by perturbing an amplitude of a spectrum of an original signal in one or more spectral regions, and to propagate the perturbed signal through components of the communication system. The communication system is further configured to obtain a measurement of the perturbed signal in a first spectral region of the one or more spectral regions following the propagation of the perturbed signal, and to calculate an estimate of an impairment associated with the communication system based on the measurement.