Subband algorithm with threshold for robust broadband active noise control system

Patent metadata

Field	Value
Publication number	US-10121464-B2
Application number	US-201414563109-A
Country	US
Kind code	B2
Filing date	Dec 8, 2014
Priority date	Dec 8, 2014
Publication date	Nov 6, 2018
Grant date	Nov 6, 2018

Abstract

An active noise control (ANC) system includes a speaker and one or more processors. The one or more processors implement an adaptive subband filtered reference control algorithm that applies thresholds to reference and error feedback signal paths such that, in response to a series of broadband non-Gaussian impulsive reference signals indicative of road noise in the vehicle having an audible frequency range of 20 Hz to 20 kHz, weight coefficients defining an adaptive filter of the control algorithm converge and permit the ANC system to partially cancel the road noise via output of the speaker.

First claim

What is claimed is:

1. A vehicle system comprising:
an active noise control (ANC) system including a processor programmed to implement an adaptive subband filtered reference control algorithm that applies thresholds to reference and error feedback signal paths such that, responsive to broadband non-Gaussian impulsive reference signals indicative of road noise and detected via sensors, weight coefficients defining an adaptive filter of the control algorithm converge and permit the ANC system to partially cancel the road noise via a speaker.

2. The vehicle system of claim 1 , wherein values of the thresholds are based on a variance of magnitudes of the impulsive reference signals.

3. The vehicle system of claim 2 , wherein the values increase as the variance increases.

4. The vehicle system of claim 1 , wherein values of the thresholds are based on percentile characteristics of the impulsive reference signals.

5. The vehicle system of claim 1 , wherein the adaptive subband filtered reference control algorithm is delayless.

6. The vehicle system of claim 1 , wherein the adaptive subband filtered reference control algorithm is a filtered-x least mean square (FXLMS) adaptive subband filtered reference control algorithm or a filtered-x least mean M-estimator (FXLMM) adaptive subband filtered reference control algorithm.

7. The vehicle system of claim 1 , wherein the adaptive subband filtered reference control algorithm includes a discrete Fourier transform (DFT) filter bank.

8. The vehicle system of claim 7 , wherein the DFT filter bank is a uniform bandwidth DFT filter bank or a variable bandwidth DFT filter bank.

9. A method comprising:
applying, via a processor-implemented adaptive subband filtered reference control algorithm, a first threshold to a reference signal path and a second threshold to an error feedback signal path such that, responsive to a series of broadband non-Gaussian impulsive reference signals indicative of road noise and detected by sensors, weight coefficients defining an adaptive filter of the control algorithm converge to permit partial cancellation of the road noise via output of a speaker.

10. The method of claim 9 , wherein values of the thresholds are based on a variance of magnitudes of the impulsive reference signals.

11. The method of claim 10 , wherein the values increase as the variance increases.

12. The method of claim 9 , wherein values of the thresholds are based on percentile characteristics of the impulsive reference signals.

13. The method of claim 9 , wherein the adaptive subband filtered reference control algorithm is delayless.

14. The method of claim 9 , wherein the adaptive subband filtered reference control algorithm is a filtered-x least mean square (FXLMS) adaptive subband filtered reference control algorithm or a filtered-x least mean M-estimator (FXLMM) adaptive subband filtered reference control algorithm.

15. The method of claim 9 , wherein the adaptive subband filtered reference control algorithm includes a discrete Fourier transform (DFT) filter bank.

16. The method of claim 15 , wherein the DFT filter bank is a uniform bandwidth DFT filter bank or a variable bandwidth DFT filter bank.

17. An active noise control (ANC) system comprising:
accelerometers, a microphone, and a speaker; and
one or more processors programmed to implement an adaptive subband filtered reference control algorithm that applies thresholds to reference and error feedback signal paths such that, responsive to a series of broadband non-Gaussian impulsive reference signals detected via the accelerometers or microphone and indicative of road noise in a vehicle having an audible frequency range of 20 Hz to 20 kHz, weight coefficients defining an adaptive filter of the control algorithm converge and permit the ANC system to partially cancel the road noise via output of the speaker.

18. The system of claim 17 , wherein the adaptive subband filtered reference control algorithm is delayless.

19. The system of claim 17 , wherein the adaptive subband filtered reference control algorithm is a filtered-x least mean square (FXLMS) adaptive subband filtered reference control algorithm or a filtered-x least mean M-estimator (FXLMM) adaptive subband filtered reference control algorithm.

20. The system of claim 17 , wherein the adaptive subband filtered reference control algorithm includes a discrete Fourier transform (DFT) filter bank.

Assignees

• Ford Global Tech Llc
• Univ Cincinnati

Inventors

• Lee Ming-Ran
• Abe Takeshi
• Cheng Ming-Te
• Vanhaaften Frederick Wayne
• Na Liqun
• Lim Teik
• Li Mingfeng
• Sun Guohua
• Feng Tao

Classifications

• G10K11/17854

  the filter being an adaptive filter · CPC title

• G10K11/17879

  using both a reference signal and an error signal · CPC title

• G10K11/1781 Primary

  characterised by the analysis of input or output signals, e.g. frequency range, modes, transfer functions · CPC title

• G10K2210/3218

  Filters other than the algorithm-related filters · CPC title

• G10K2210/3028

  Filtering, e.g. Kalman filters or special analogue or digital filters · CPC title