A two-channel feedback active noise control system with delayless subband architecture to reduce compressor noise of an enclosed heating,ventilation and air conditioning unit

Abstract

This paper discusses the development of an active noise control (ANC) system to cancel compressor noise produced by a commercially available heating, ventilation and air conditioning unit enclosed within a closet. Feedback ANC architecture that requires no reference microphone is used for cost-effectiveness. A novel delayless subband adaptive filtering technique is used to reduce computational complexity of the algorithm and improve system performance. Finally, the system is extended to two-channel architecture in order to provide an additional zone of silence. Using an experimental setup, the noise from the compressor at two error microphone positions is recorded and all necessary secondary path measurements are taken. Noise attenuation levels of 11 dB and 21 dB are obtained at the two error microphones, resulting in an average attenuation of 18 dB.

Keywords

Delayless subband adaptive filter feedback ANC HVAC two-channel ANC

Get full access to this article

View all access options for this article.

References

De Haan

Grbic

Claesson

Nordholm

(2003) Filter bank design for subband adaptive microphone arrays. IEEE Transactions on Speech and Audio Processing 11(1): 14–23.

Elliott

(2000) Signal Processing for Active Control, San Diego, California: Academic Press.

Elliott

Nelson

Stothers

(1987) A multiple error LMS algorithm and its application to the active control of sound and vibration. IEEE Transactions on Acoustics, Speech and Signal Processing 35(10): 1423–1434.

Kokkinakis K and Loizou PC (2007) Subband-based blind signal processing for source separation in convolutive mixtures of speech. In: IEEE International Conference on Acoustics, Speech and Signal Processing, Honolulu, Hawaii, USA, 15--20 April, vol. 4(IV), pp. 917–920.

Kuo SM and Finn B (1992) A general multi-channel algorithm for 3-D active noise control systems. In Proceedings of the International Congress on Recent Developments in Air-& Structure-Borne Sound and Vibration, Auburn University, Auburn, Alabama, USA, 4--6 March, pp. 345–352.

Kuo

Morgan

(1996) Active Noise Control Systems – Algorithms and DSP Implementations, New York: Wiley.

Loizou

(2007) Speech Enhancement: Theory and Practice, Boca Raon, FL: CRC.

Milani AA, Kannan G, Panahi IMS, Briggs R, Gopinath K (2007) Weight stacking analysis of delayless subband adaptive algorithms for fMRI active noise cancellation. In: Engineering in Medicine and Biology Workshop, IEEE, Dallas, USA, November, pp. 134–137.

Milani

Panahi

IMS

Loizou

(2009) A new delayless subband adaptive filtering algorithm for active noise control systems. IEEE Transactions on Audio, Speech, and Language Processing 17(5): 1038–1045.

10.

Morgan

Thi

(1995) A delayless subband adaptive filter architecture. IEEE Transactions on Signal Processing 43(8): 1819–1830.

11.

Ramachandran VR, Kannan G, Milani AA, Panahi IMS (2007) Speech enhancement in functional MRI environment using adaptive sub-band algorithms. In: IEEE International Conference on Acoustics, Speech and Signal Processing, Honolulu, Hawaii, USA, 15--20 April, vol. 2(II), pp. 341–344.

12.

Reddy

Panahi

IMS

Briggs

(2011) Hybrid FxRLS-FxNLMS adaptive algorithm for active noise control in fMRI application. IEEE Transactions on Control Systems Technology 19(2): 474–480.

13.

Shynk

(1992) Frequency-domain and multirate adaptive filtering. IEEE Signal Processing Magazine 9(1): 14–37.

14.

Vaidyanathan

(1993) Multirate Systems and Filter Banks, Englewood Cliffs, NJ: Prentice-Hall.

15.

Widrow

Stearns

(1985) Adaptive Signal Processing, Englewood Cliffs, NJ: Prentice-Hall.