Coherent Cross-Correlation Digital Receiver for HFC Leakage Detection

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Solution Overview

Problem

Current methods for detecting and locating signal leakage in all-digital HFC networks, particularly those using QAM signals, are ineffective due to the noise-like frequency spectrum of digital signals, requiring expensive bandwidth allocation for analog test signals and being time-consuming with existing triangulation methods.

Innovation Solution

A system employing a coherent cross-correlation digital receiver uses GPS timestamps and a communications link to correlate QAM signal samples from the headend with those detected in free space, allowing for the detection and location of leakage sources without pilot or tone signals, and utilizing time delay measurements to determine the source's geographic coordinates.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If analog test signals or pilot carriers are used for leakage detection in all-digital HFC networks, then leakage detection capability is improved, but bandwidth cost and system complexity increase

Engineering Contradiction:
Improveleakage detection capabilityVSAvoidbandwidth allocation
Core Design Contradiction:
ReliabilityVSQuantity of substance

Solution Approach 1:

The invention extracts and utilizes the existing QAM signal components that are already present in the all-digital network for leakage detection purposes. Instead of adding separate test signals, the system extracts information from the digital TV signals themselves by analyzing the correlation between transmitted and received QAM signals, thereby achieving leakage detection without consuming additional bandwidth.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The QAM signal serves multiple functions simultaneously: it carries digital TV content and provides the basis for leakage detection. The system processes the QAM signal to extract both video information and leakage detection information, making the signal universal and eliminating the need for separate analog test signals or pilot carriers.

Inventive Principle:
Principle #6Universality (Multi-functionality)

2Measurement precision

If triangulation methods with multiple detection points are used to locate leakage sources, then location accuracy is improved, but measurement time and operational complexity increase

Engineering Contradiction:
Improveleakage source location accuracyVSAvoidtime to locate leakage source
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary actions by continuously monitoring and storing QAM signal characteristics at the headend before leakage occurs. When leakage is detected, the pre-stored signal information is immediately available for correlation analysis, eliminating the need for time-consuming multi-point measurements and enabling rapid single-point location determination.

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The invention transitions from spatial triangulation (multiple detection points in space) to temporal-signal domain analysis (comparing signal characteristics in time and frequency). By analyzing the correlation of QAM signals in the signal domain, the system determines leakage location without requiring multiple physical detection points, thus reducing measurement time while maintaining accuracy.

Inventive Principle:
Principle #17Another dimension (Dimensionality change)

3Device complexity

If QAM receiver and demodulator are used to detect leakage from QAM signals, then signal processing capability is improved, but detection effectiveness deteriorates due to carrier to noise ratio requirements

Engineering Contradiction:
Improvesignal processing capabilityVSAvoidleakage detection effectiveness
Core Design Contradiction:
Device complexityVSReliability

Solution Approach 1:

The invention replaces the traditional QAM receiver/demodulator approach with a correlation-based detection method. Instead of using complex demodulation circuits that require high carrier-to-noise ratios, the system uses signal correlation techniques that are more robust to noise and can effectively detect leakage from QAM signals in all-digital networks without stringent CNR requirements.

Inventive Principle:
Principle #28Mechanics substitution (Replace mechanical system)

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

This approach enables quick and accurate detection and location of digital signal leaks from a single measurement point, reducing the number of detection points required and improving accuracy, while avoiding the need for directional antennas and triangulation methods.

Implementation Method 1

a cross-correlation processor for cross-correlating the reference signal samples with the leakage signal samples to produce a cross-correlation function having a peak

Methodology Applied
Scientific EffectCross-correlation:

Implementation Method 2

The global positioning system provides a time reference signal and a timestamp

Methodology Applied
Scientific EffectGPS timing:

Implementation Method 3

measuring a propagation delay of the QAM signal from the headend to the leakage detector

Methodology Applied
Scientific EffectTime delay measurement: Time of Flight

Data Source

PatentUS9709621B2Leakage detection of digital signals in an HFC network
Publication Date: 2017.07.18 ARCOM DIGITAL LLC
  • US9709621B2 patent drawing
  • US9709621B2 patent drawing
  • US9709621B2 patent drawing

AI summary

A method of detecting a digital leakage signal originating from a leak in a coaxial cable portion of an HFC network. The network has a transmission end from which a digital signal is transmitted to the coaxial cable portion. The digital signal is emitted into free space from the leak to produce the leakage signal. The method comprises: (a) producing a first set of samples representing the digital signal; (b) transmitting the first set of samples to a leakage detector; (c) moving the leakage detector to a detection point in the vicinity of the network; (d) receiving the leakage signal from the leak; (e) sampling the leakage signal to produce a second set of samples; and (f) performing a cross-correlation of the first set of samples with the second set of samples, to produce a cross-correlation function having a peak, whereby the leakage signal is detected from the peak.