Doppler Frequency Calculation in OFDM Systems

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Solution Overview

Problem

Estimating the transmission path characteristic of OFDM signals is challenging when the Doppler frequency is large, as it violates the Nyquist condition, leading to incorrect results, and existing methods require speedometer data to calculate the Doppler frequency.

Innovation Solution

A Doppler frequency calculating apparatus and method that eliminates the modulated component from a received signal, performs frequency analysis, and uses a frequency-direction interpolation filter to estimate the transmission path characteristic without a speedometer, allowing for proper estimation even when the Doppler frequency exceeds a threshold.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If the Doppler frequency is large, then the transmission path characteristic estimation becomes inaccurate due to violation of the Nyquist condition, but using speedometer data to calculate Doppler frequency requires additional hardware and increases device complexity

Engineering Contradiction:
Improvetransmission path characteristic estimation accuracyVSAvoiddevice complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The system uses its own received signal to calculate the Doppler frequency through frequency analysis, eliminating the need for external speedometer hardware. The received signal itself serves as the source for deriving motion information, allowing the system to self-determine the Doppler frequency and adjust estimation parameters accordingly.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The system dynamically changes the estimation parameter (time interval between samples) based on the calculated Doppler frequency. When high Doppler frequency is detected, the system adjusts the sampling interval to satisfy the Nyquist condition, thereby maintaining estimation accuracy without requiring additional hardware.

Inventive Principle:
Principle #35Parameter changes

2Device complexity

If frequency analysis is performed on the received signal to calculate Doppler frequency, then speedometer hardware can be eliminated, but the processing complexity increases

Engineering Contradiction:
Improvedevice complexityVSAvoidprocessing complexity
Core Design Contradiction:
Device complexityVSDifficulty of detecting and measuring

Solution Approach 1:

The system extracts the Doppler frequency information from the received signal through frequency analysis, separating this measurement function from the main signal processing chain. By extracting only the necessary Doppler frequency parameter and using it to control the estimation process, the system avoids the complexity of full signal processing while eliminating hardware dependencies.

Inventive Principle:
Principle #2Taking out (Extraction)

3Measurement precision

If time-direction interpolation is used to estimate transmission path characteristic, then the estimation is accurate under normal conditions, but it fails when the Doppler frequency exceeds the Nyquist limit

Engineering Contradiction:
Improvetransmission path characteristic estimation accuracyVSAvoidadaptability to high Doppler frequency
Core Design Contradiction:
Measurement precisionVSAdaptability or versatility

Solution Approach 1:

The system dynamically adjusts the estimation method based on the calculated Doppler frequency. When the Doppler frequency exceeds the Nyquist limit, the system changes the time interval between samples used for interpolation, adapting the estimation process to the current motion conditions. This dynamic adjustment allows accurate estimation across a wide range of Doppler frequencies.

Inventive Principle:
Principle #15Dynamics

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 accurate calculation of the Doppler frequency and transmission path characteristic for all sub-carriers within a transmission symbol, ensuring proper equalization processing without relying on speedometer data, even when the Doppler frequency is high and the Nyquist condition is not satisfied.

Implementation Method 1

calculates a Doppler frequency, which is the magnitude of a time-dependent fluctuation of the characteristic of a transmission path for receiving an orthogonal frequency division multiplexing (OFDM) signal in motion

Methodology Applied
Scientific EffectDoppler effect: Doppler Effect

Data Source

PatentEP1744513B1Doppler frequency calculating apparatus and method
Publication Date: 2016.08.31 SONY GROUP CORP
  • EP1744513B1 patent drawingFigure 1
  • EP1744513B1 patent drawingFigure 2
  • EP1744513B1 patent drawingFigure 3~4

AI summary

A Doppler frequency calculating apparatus is arranged to calculate a Doppler frequency, which is the magnitude of a time-dependent fluctuation of the characteristic of the transmission path through which an orthogonal frequency-division multiplexing (OFDM) signal is transmitted. The Doppler frequency calculating apparatus includes a received signal point memory section storing the received signal point of the sub-carrier having a reference carrier signal of the OFDM signal, a modulated component eliminating section eliminating the modulated component from the received signal point stored in the received signal point memory section, and a Doppler frequency calculating section calculating a Doppler frequency by performing frequency analysis on the received signal point of each sub-carrier from which the modulated component has been eliminated by the modulated component eliminating section.