Non-linear junction detection on active communication lines

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Solution Overview

Problem

Existing non-linear junction detection methods require isolating communication lines from electronics, making them time-consuming and difficult, especially when detecting concealed surveillance devices connected to active communication equipment.

Innovation Solution

A method and device using test signals at varying power levels and harmonic frequencies to detect anomalies on lines connected to communication equipment, allowing for the detection of non-linear junctions without disconnecting them, utilizing a device with signal generation, coupling, bias circuitry, and data comparison for graphical and mathematical analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Difficulty of detecting and measuring

If non-linear junction detection is performed on lines connected to communication equipment, then detection capability is improved, but false readings from normal electronics interfere with detection accuracy

Engineering Contradiction:
Improvedetection capabilityVSAvoiddetection accuracy
Core Design Contradiction:
Difficulty of detecting and measuringVSMeasurement precision

Solution Approach 1:

The system changes the power level parameter of test signals to identify non-linear junctions. By applying signals at multiple power levels and analyzing harmonic responses, the system can distinguish between normal electronic behavior and surreptitious devices, resolving the accuracy issue without requiring line isolation

Inventive Principle:
Principle #35Parameter changes

Solution Approach 2:

The system uses harmonic frequency responses as an intermediary to detect non-linear junctions. The harmonic content of the line response serves as a mediator that reveals the presence of surreptitious electronics while being unaffected by normal communication equipment, allowing accurate detection without isolation

Inventive Principle:
Principle #24Intermediary (Mediator)

2Measurement precision

If lines are isolated from all electronics before testing, then detection accuracy is improved, but time required for detection increases

Engineering Contradiction:
Improvedetection accuracyVSAvoiddetection time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary analysis by measuring harmonic responses at multiple power levels before making detection decisions. This preliminary data collection allows the system to accurately identify non-linear junctions without requiring time-consuming isolation procedures, as the harmonic signature analysis can be performed while electronics remain connected

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The system replaces the mechanical isolation process with an electrical signal-based detection method. Instead of physically disconnecting electronics to achieve accurate detection, the system uses sophisticated signal analysis at harmonic frequencies to achieve the same detection accuracy while eliminating the time loss associated with isolation

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

3Difficulty of detecting and measuring

If test signal power is increased to improve detection sensitivity, then detection capability is improved, but risk of damaging existing electronics increases

Engineering Contradiction:
Improvedetection sensitivityVSAvoidrisk of damage to electronics
Core Design Contradiction:
Difficulty of detecting and measuringVSObject-affected harmful factors

Solution Approach 1:

The system applies test signals at multiple power levels, using only the necessary power to elicit detectable harmonic responses. By analyzing responses at lower power levels first and progressively increasing power only when needed, the system achieves high detection sensitivity while minimizing the risk of damaging existing electronics through excessive signal power

Inventive Principle:
Principle #16Partial or excessive action

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 efficient detection of concealed surveillance devices on active communication lines without damaging existing electronics, reducing detection time and improving accuracy by comparing response levels to stored data and identifying changes over time.

Implementation Method 1

A response level is received from the line under test at a harmonic frequency of the first test signal

Methodology Applied
Scientific EffectHarmonic generation:

Implementation Method 2

Non-linear junction detector technology has previously been used to detect the presence of electronics connected to communication lines

Methodology Applied
Scientific EffectNon-linear junction effect:

Data Source

PatentUS7630853B2Non-linear junction based electronics detection
Publication Date: 2009.12.08 RESEARCH ELECTRONICS INTERNATIONAL LLC
  • US7630853B2 patent drawing
  • US7630853B2 patent drawing
  • US7630853B2 patent drawing

AI summary

Line anomalies on a line under test are detected by generating a test signal at a first power level and coupling the test signal to the line under test. A response level is received from the line under test at a second and third harmonic frequency of the first test signal. A second test signal is generated at an increased power level and coupled to the line under test and a response level from the line is received at a second and third harmonic frequency of the second test signal. The process is repeated by raising the power level of the test signal until a current level supplied to the line by a test signal exceeds an acceptable threshold level. The response levels are compared to stored data to locate any line anomalies present. The stored data represents harmonic response data obtained from the same line at a previous time. A graphical or mathematical representation of the response data is produced such that the response data can be easily compared to locate any anomalies.