FMCW Radar Signal Grouping for Stable Object Detection

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Solution Overview

Problem

Existing radar technologies for detecting objects face challenges in maintaining stable detection, particularly in environments with complex and dynamic conditions, leading to inconsistent performance in measuring distances and velocities.

Innovation Solution

An electronic device equipped with transmission and reception antennas, along with a controller, processes multiple pieces of detected data to generate representative data, enhancing detection stability by using frequency-modulated continuous wave radar and performing FFT processing to accurately measure distances, velocities, and angles of arrival.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If multiple pieces of detected data are processed to generate representative data, then detection stability is improved, but device complexity increases

Engineering Contradiction:
Improvedetection stabilityVSAvoiddata processing complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The detected data is segmented into multiple individual measurement pieces, each representing a specific detection instance. By dividing the overall detection task into discrete data pieces that can be individually processed and then aggregated, the system achieves more stable detection results while maintaining manageable processing complexity through systematic organization of the data segments.

Inventive Principle:
Principle #1Segmentation

2Measurement precision

If FFT processing is performed to accurately measure distances and velocities, then measurement precision is improved, but computation time increases

Engineering Contradiction:
Improvedistance and velocity measurement accuracyVSAvoidcomputation time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary signal conditioning and preprocessing of the radar return signals before applying FFT processing. By preparing the data in advance through filtering, normalization, and organization of the received signals, the subsequent FFT computation can be executed more efficiently, reducing the actual computation time while maintaining the high measurement precision required for accurate distance and velocity determination.

Inventive Principle:
Principle #10Preliminary 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

The solution provides stable and accurate detection of objects, enabling precise measurement of distances, velocities, and angles, even in challenging environments, improving the reliability of radar systems.

Implementation Method 1

a transmission antenna 25 configured to transmit a transmission wave T

Methodology Applied
Scientific EffectElectromagnetic wave transmission: Electromagnetic Induction

Implementation Method 2

a reception antenna 31 configured to receive a reflected wave R that is the transmission wave T having been reflected

Methodology Applied
Scientific EffectElectromagnetic wave reflection: Reflection

Data Source

PatentUS12546856B2Electronic device, method for controlling electronic device, and program
Publication Date: 2026.02.10 KYOCERA CORP
  • US12546856B2 patent drawing
  • US12546856B2 patent drawing
  • US12546856B2 patent drawing

AI summary

An electronic device includes a transmission antenna, a reception antenna, and a controller. The transmission antenna transmits a transmission wave. The reception antenna receives a reflected wave that is the transmission wave having been reflected. The controller detects an object that reflects the transmission wave, based on a transmission signal transmitted as the transmission wave and a reception signal received as the reflected wave. The controller generates, based on reference data, a group from multiple pieces of detected data generated based on the detection of the object, and generates representative data based on one or more pieces of detected data included in the group.