I/Q Constellation Histogram Analysis for Signal Impairment Detection
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Solution Overview
Problem
Current methods for analyzing impairments in demodulated signals require human inspection of constellation diagrams, lacking continuous observation and automation.
Innovation Solution
A device and method for graphical analysis using a communication interface to receive demodulated signals, populating a histogram with I/Q symbols, and a digital processing logic to analyze the spread and compliance of statistical features with thresholds, enabling automated detection of impairments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If human inspection of constellation diagrams is used for impairment detection, then diagnostic accuracy can be achieved, but continuous observation and automation are lacking
Solution Approach 1:
The system performs self-diagnosis by automatically analyzing constellation diagrams through histogram generation and statistical evaluation. The measurement device autonomously detects impairments without requiring human inspection, implementing self-service functionality that maintains diagnostic accuracy while eliminating manual intervention.
Solution Approach 2:
The patent replaces the mechanical human inspection process with automated digital signal processing. Instead of human eyes visually examining constellation diagrams, the system uses digital logic to generate histograms and evaluate statistical features, substituting mechanical human operation with electronic automation.
2Productivity
If automated histogram analysis is implemented, then continuous observation and productivity are improved, but device complexity increases
Solution Approach 1:
The complex analysis task is segmented into distinct functional blocks: histogram generation from constellation points, statistical feature extraction from histograms, and threshold-based impairment detection. This segmentation allows continuous automated operation while managing complexity through modular design.
Solution Approach 2:
Histograms serve as an intermediary representation between the raw constellation diagrams and the final impairment detection. This intermediate statistical structure simplifies the analysis process, enabling continuous automated observation without requiring complex direct analysis of raw signal data.
Data Source
AI summary
Disclosed are a device (1) for graphical analysis of an impairment of a demodulated signal, and a corresponding process (2). The device comprises a communication interface (11) and a digital processing logic (12). The communication interface (11) is configured for receiving the demodulated signal including in-phase and quadrature, I/Q, symbols (13). The digital processing logic (12) is configured for populating a histogram (14) with a subset of the received I/Q symbols (13) relating to a nominal I/Q symbol (13N) of a graphical pixel-based I/Q symbol constellation (16) of the demodulated signal. The histogram (14) reflects a spread (15) of the subset of the I/Q symbols (13) in the I/Q symbol constellation (16). The spread (15) depends in direction on a type of the impairment and in magnitude on a strength of the impairment. The digital processing logic (12) is further configured for verifying a compliance of a statistical feature (18) of the histogram (14) with a threshold (19). This achieves a higher degree of automation, a higher probability of observing significant transmission errors, and more reliability and higher throughput of measurement.