Granted Patent B2

US 12,217,733 · App. 17/592,861 · Granted Feb 4, 2025

Inventors: Tao Feng (Novi, MI); Kevin J. Bastyr (Franklin, MI)

Assignee: HARMAN INTERNATIONAL INDUSTRIES, INCORPORATED

G10K11/17823G10K11/17817G10K11/17837

Abstract

Claims (68)

1. A road noise cancellation (RNC) system comprising:

at least one loudspeaker to project anti-noise sound within a passenger cabin of a vehicle in response to an anti-noise signal; and

a controller programmed to:

determine a noise signal indicative of road induced noise using an output signal measured by a force gauge;

determine a coherence value between the noise signal and an error signal indicative of noise and the anti-noise sound within the passenger cabin;

estimate a noise reduction value based on the coherence value;

filter the noise signal and the error signal based on the estimated noise reduction value; and

generate the anti-noise signal based on the filtered noise signal and the filtered error signal.

2. The RNC system of claim 1 , wherein the controller is further programmed to:

determine shaping filter parameters based on the estimated noise reduction value using a non-linear least square solver; and

filter the noise signal and the error signal using the shaping filter parameters,

wherein the noise reduction value is frequency-dependent.

3. The RNC system of claim 2 , wherein the controller is further programmed to:

initialize an objective function with a target value based on the estimated noise reduction value; and

determine the shaping filter parameters based on the objective function using the non-linear least square solver.

4. The RNC system of claim 1 , wherein the controller is further programmed to:

smooth the filtered noise signal and the filtered error signal using artificial intelligence; and

generate the anti-noise signal based on the smoothed and filtered noise signal and the smoothed and filtered error signal.

5. The RNC system of claim 1 , wherein the controller is further programmed to:

select at least one peak filter based on the estimated noise reduction value; and

filter the noise signal and the error signal using the at least one peak filter.

6. The RNC system of claim 1 , wherein the controller is further programmed to filter the noise signal and the error signal based on the estimated noise reduction value over a frequency range.

7. The RNC system of claim 1 further comprising at least one microphone for measuring the noise and the anti-noise sound within the passenger cabin and providing the error signal.

8. The RNC system of claim 1 further comprising a vibration sensor for providing the noise signal indicative of the road induced noise within the passenger cabin.

9. The RNC system of claim 1 , wherein the controller further comprises:

an adaptive filter controller to determine the coherence value and to estimate the noise reduction value; and

a controllable filter to generate the anti-noise signal.

10. A method for automatically adjusting a road noise cancellation (RNC) shaping filter comprising:

projecting anti-noise sound within a passenger cabin of a vehicle in response to an anti-noise signal;

receiving a noise signal indicative of road induced noise within the passenger cabin, wherein the noise signal is determined using vibration data measured via a vibration sensor including a linear variable differential transformer;

receiving an error signal indicative of noise and the anti-noise sound within the passenger cabin;

determining a coherence value between the noise signal and the error signal;

estimating a noise reduction value based on the coherence value;

filtering the noise signal and the error signal based on the estimated noise reduction value; and

generating the anti-noise signal based on the filtered noise signal and the filtered error signal.

11. The method of claim 10 further comprising:

initializing an objective function with a target value based on the estimated noise reduction value;

determining shaping filter parameters based on the objective function using a non-linear least square solver; and

filtering the noise signal and the error signal using the shaping filter parameters.

12. The method of claim 10 further comprising:

smoothing the filtered noise signal and the filtered error signal using artificial intelligence; and

generating the anti-noise signal based on the smoothed and filtered noise signal and the smoothed and filtered error signal.

13. The method of claim 10 further comprising:

selecting at least one peak filter based on the estimated noise reduction value; and

filtering the noise signal and the error signal using the at least one peak filter.

14. A road noise cancellation (RNC) system comprising:

at least one loudspeaker to project anti-noise sound within a passenger cabin of a vehicle in response to an anti-noise signal;

at least one microphone to provide an error signal indicative of the noise and the anti-noise sound within the passenger cabin; and

a controller programmed to:

determine a noise signal indicative of road induced noise using an output signal measured via a load cell;

determine a coherence value between the noise signal and an error signal indicative of noise and the anti-noise sound within the passenger cabin;

estimate a noise reduction value based on the coherence value;

filter at least one of the noise signal and the error signal based on the estimated noise reduction value; and

generate the anti-noise signal based on the at least one of the filtered noise signal and the filtered error signal.

15. The RNC system of claim 14 , wherein the controller is further programmed to:

determine shaping filter parameters based on the estimated noise reduction value using a non-linear least square solver; and

filter at least one of the noise signal and the error signal using the shaping filter parameters.

16. The RNC system of claim 14 , wherein the controller is further programmed to:

smooth the at least one of the filtered noise signal and the filtered error signal using artificial intelligence; and

generate the anti-noise signal based on the at least one of the smoothed and filtered noise signal and the smoothed and filtered error signal.

17. The RNC system of claim 14 , wherein the controller is further programmed to:

select at least one peak filter based on the estimated noise reduction value; and

filter the noise signal and the error signal using the at least one peak filter.

18. The RNC system of claim 14 , wherein the controller is further programmed to filter the noise signal and the error signal based on the estimated noise reduction value over a frequency range.

19. The RNC system of claim 14 further comprising a vibration sensor to provide the noise signal indicative of the road induced noise within the passenger cabin.

20. The RNC system of claim 14 , wherein the controller further comprises:

an adaptive filter controller to determine the coherence value and to estimate the noise reduction value; and

a controllable filter to generate the anti-noise signal.

Assignments (1)

Continuity (1)

References Cited (13)

Cited By (1)

US 12,315,487