Reference Sensor Selection for Active Noise Control

Solution Overview

Problem

Conventional reference signal selection techniques for active noise control in vehicles are either computationally inefficient or do not guarantee optimal performance, leading to subpar noise reduction due to oversimplification of signal correlations.

Innovation Solution

A method that selects reference sensors based on coherence information, using a Fisher Information Matrix to determine the optimal combination of sensors that provide the largest information quantity, combined with an optimal filter technique for enhanced performance.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of time

If the Single Coherence (SCOH) technique is used to select reference signals, then the calculation time is reduced and the selection process is simplified, but the control performance of the ANC system deteriorates due to excessive simplification of correlation between reference signals

Engineering Contradiction:

Improvecalculation timeVSAvoidcontrol performance

Core Design Contradiction:

Loss of timeVSReliability

Solution Approach 1:

The patent segments the reference signal selection process into two stages: first using SCOH for rapid initial selection of candidate signals, then applying MCOH to refine the selection by considering inter-correlations among selected signals. This segmentation allows the system to benefit from both the speed of SCOH and the accuracy of MCOH without paying the full computational cost of MCOH.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent applies partial action by using MCOH not for the complete selection process but only for refining a subset of candidates already identified by SCOH. This partial application of the more accurate (but computationally intensive) MCOH method achieves improved performance while limiting the additional computational burden to only the refinement stage.

Inventive Principle:

Principle #16Partial or excessive action

2Reliability

If the Multiple Coherence (MCOH) technique is used to select reference signals, then the interrelation between reference signals is reflected more accurately, but the calculation quantity increases significantly

Engineering Contradiction:

Improvecontrol performanceVSAvoidcalculation quantity

Core Design Contradiction:

ReliabilityVSQuantity of substance

Solution Approach 1:

The patent segments the reference signal selection process into two stages: first using SCOH for rapid initial selection of candidate signals, then applying MCOH to refine the selection by considering inter-correlations among selected signals. This segmentation allows the system to benefit from both the speed of SCOH and the accuracy of MCOH without paying the full computational cost of MCOH.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent applies partial action by using MCOH not for the complete selection process but only for refining a subset of candidates already identified by SCOH. This partial application of the more accurate ( but computationally intensive) MCOH method achieves improved performance while limiting the additional computational burden to only the refinement stage.

Inventive Principle:

Principle #16Partial or excessive action

3Reliability

If the Optimal Filter technique is used to select reference signals, then the control performance is maximized with the most accurate performance prediction, but the calculation time becomes unacceptable for real-time implementation due to large quantity of inverse matrix calculation required

Engineering Contradiction:

Improvecontrol performanceVSAvoidcalculation time

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The patent segments the reference signal selection process into two stages: first using SCOH for rapid initial selection of candidate signals, then applying MCOH to refine the selection by considering inter-correlations among selected signals. This segmentation allows the system to benefit from both the speed of SCOH and the accuracy of MCOH without paying the full computational cost of MCOH.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

The patent applies partial action by using MCOH not for the complete selection process but only for refining a subset of candidates already identified by SCOH. This partial application of the more accurate ( but computationally intensive) MCOH method achieves improved performance while limiting the additional computational burden to only the refinement stage.

Inventive Principle:

Principle #16Partial or excessive action

Data Source

PatentUS11948547B2Information quantity-based reference sensor selection and active noise control using the same

Publication Date: 2024.04.02 HYUNDAI MOTOR CO LTD

AI summary

An active noise control system selects one reference sensor providing a reference signal with the largest coherence to a noise signal, among a plurality of available reference sensors, as a first entry of a reference sensor set. After selecting the first entry, the active noise control system repeats a process in which a sensor capable of providing the largest information quantity to a current reference sensor set among remaining sensors is selected as a new entry of a reference sensor set, until a desired number of sensors is reached or a desired control level is reached. When the reference sensor set is determined, the active noise control system utilizes the entries of the reference sensor set to generates a noise control signal suitable for canceling the noise signal.