IF Phase Dispersion Characterization Without Calibration

Resolve Bottlenecks,
Find Innovative Solutions
Generate Solutions

Solution Overview

Problem

Existing methods for characterizing the intermediate frequency (IF) phase dispersion characteristics of frequency translating receivers, such as superheterodyne receivers, are inefficient and require calibrated RF and LO channel responses, which can be time-consuming and impractical.

Innovation Solution

A method and system that generate a test signal with specific RF frequencies and use a local oscillator to convert it to an IF signal, filtering and measuring the IF output at various frequencies to ascertain phase dispersion, without the need for calibrated RF and LO channel responses, by setting the LO frequency to specific values and measuring the filtered IF output signal at corresponding IF frequencies.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If existing methods are used to characterize IF phase dispersion, then measurement accuracy can be achieved, but the process is time-consuming and requires calibrated RF and LO channel responses

Engineering Contradiction:
ImproveIF phase dispersion measurement accuracyVSAvoidCalibration time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The patent extracts and eliminates the requirement for calibrated RF and LO channel responses from the measurement process. By using a mathematical model that relates IF phase dispersion to measurable quantities (IF amplitude and phase at specific frequencies), the method removes the time-consuming calibration step while maintaining measurement accuracy.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent creates a mathematical copy or model of the IF channel response that can be measured without actual physical calibration. The model uses relationships between signal components at different frequencies to represent the calibrated response, allowing accurate characterization without time-consuming physical calibration procedures.

Inventive Principle:
Principle #26Copying

2Measurement precision

If existing methods are used to characterize IF phase dispersion, then measurement accuracy can be achieved, but the process is complex and impractical

Engineering Contradiction:
ImproveIF phase dispersion measurement accuracyVSAvoidMeasurement system complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent simplifies the measurement system by extracting and removing the complex calibration procedures and RF/LO channel response requirements. The method uses only basic measurements of IF signal amplitude and phase at specific frequencies, significantly reducing system complexity while maintaining accuracy.

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The patent changes the measurement approach from requiring calibrated channel responses to measuring specific parameters (amplitude and phase at defined frequencies). This parameter transformation simplifies the measurement process and reduces system complexity while achieving the same measurement goal.

Inventive Principle:
Principle #35Parameter changes

3Productivity

If efficient characterization methods are implemented, then measurement time is reduced, but measurement accuracy may be compromised

Engineering Contradiction:
ImproveMeasurement efficiencyVSAvoidPhase dispersion measurement accuracy
Core Design Contradiction:
ProductivityVSMeasurement precision

Solution Approach 1:

The patent uses mathematical relationships that provide feedback between measured quantities and the desired phase dispersion characteristic. By measuring IF amplitude and phase at specific frequencies and applying the derived relationships, the method efficiently obtains accurate phase dispersion values without time-consuming calibration.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The patent transforms the measurement problem into a parameter calculation problem. Instead of requiring time-consuming calibration measurements, the method uses mathematical parameter relationships to efficiently compute phase dispersion from simple IF signal measurements, maintaining accuracy while improving efficiency.

Inventive Principle:
Principle #35Parameter changes

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 and accurate characterization of IF phase dispersion characteristics, allowing for precise measurement of phase dispersion values across different IF frequencies, improving measurement efficiency and reducing the need for extensive calibration.

Implementation Method 1

using a local oscillator (LO) signal to convert the test signal to an intermediate frequency (IF) signal

Methodology Applied
Scientific EffectFrequency mixing: Heterodyne

Data Source

PatentUS9520954B1Method and system for characterizing phase dispersion in intermediate frequency channel of receiver
Publication Date: 2016.12.13 KEYSIGHT TECHNOLOGIES INC
  • US9520954B1 patent drawing
  • US9520954B1 patent drawing
  • US9520954B1 patent drawing

AI summary

A system and method supply a test signal having a first tone at a first RF frequency and a second tone at a second RF frequency to a frequency converter; provide a local oscillator (LO) signal to the frequency converter, wherein an IF output signal of the frequency converter is supplied to an input of an intermediate frequency (IF) filter, in response to which the IF filter provides a filtered IF output signal; for each of N>1 different LO frequencies, measure the filtered IF output signal at a pair of IF frequencies corresponding to differences between the first and second RF frequencies and the LO frequency, where the measurements of the filtered IF output signal measure time-invariant phase; and ascertain N−1 values of phase dispersion D of the IF filter at N−1 corresponding IF frequencies from the N measurements of the filtered IF output signal at the N different LO frequencies.