Traffic Radar Fan Noise Harmonic Suppression

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Solution Overview

Problem

Radar systems are prone to misoperation due to fan noise and other local noise sources, which cause false target returns and affect reliability.

Innovation Solution

An adaptive system and algorithm that automatically suppresses fan noise and other local noise by identifying harmonics associated with fan noise and filtering them out, using a signal processing system that includes a radar system, radar signal processor, and adaptive fan noise suppression system.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If fan noise suppression is implemented using harmonic detection and filtering, then radar system reliability is improved, but device complexity increases

Engineering Contradiction:
Improveradar system reliabilityVSAvoidsignal processing system complexity
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent extracts and removes harmonic components from the radar signal that correspond to fan noise. By identifying and extracting these specific frequency components (harmonics of the fan rotation frequency), the system eliminates the harmful noise while preserving the original radar signal integrity, thus improving reliability without requiring complete system redesign

Inventive Principle:
Principle #2Taking out (Extraction)

Solution Approach 2:

The system continuously monitors the radar signal for harmonic components and dynamically adjusts the filtering process. The feedback mechanism allows the system to adapt to varying fan speeds and noise characteristics in real-time, maintaining effective noise suppression while optimizing processing complexity based on actual noise conditions

Inventive Principle:
Principle #23Feedback

2Measurement precision

If adaptive fan noise suppression algorithm is applied, then measurement precision is improved, but processing time increases

Engineering Contradiction:
Improvetarget detection precisionVSAvoidsignal processing time
Core Design Contradiction:
Measurement precisionVSLoss of time

Solution Approach 1:

The system performs preliminary identification of fan noise harmonics using spectral analysis before the main signal processing occurs. By pre-characterizing the noise profile and preparing filtering parameters in advance, the system reduces real-time processing requirements and achieves high measurement precision without significant time penalty

Inventive Principle:
Principle #10Preliminary action

Solution Approach 2:

The patent applies selective filtering that focuses computational resources only on the frequency ranges where fan noise harmonics are expected to occur. Rather than processing the entire spectrum uniformly, the system concentrates processing effort on specific harmonic components, achieving efficient noise suppression with reduced overall processing time

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

Improves radar system reliability by effectively distinguishing and suppressing fan noise, reducing spurious target detection and enhancing the accuracy of remote target identification.

Implementation Method 1

detects and suppresses harmonic components associated with reflected fan noise, such as by electromagnetic frequency reflected by the fan

Methodology Applied
Scientific EffectHarmonic components:

Data Source

PatentUS20260023153A1Adaptive fan noise suppression for traffic radar systems
Publication Date: 2026.01.22 APPLIED CONCEPTS INC
  • US20260023153A1 patent drawing

AI summary

A system for processing data, comprising a signal processing system configured to receive and process a reflected wireless data signal from a remote source and a noise suppression system configured to receive the wireless data signal and to detect and suppress harmonic components associated with reflected noise from a local source from the wireless data signal.