Adaptive Filter based Active Noise Controller under Acoustic Feedback

Abstract

The existing online adaptive feedback cancellation (AFC) for active noise control (ANC) system provides poor performance when the ANC output gets correlated with the primary input signal. In this paper, this situation has been analyzed and two new weight constrained adaptive algorithms such as error square constrained algorithm (ESCA) and correlation constrained algorithm (CCA) are proposed. The computer simulation results demonstrate that these algorithms provide better cancellation property compared to that of the reported ones.

Indexing terms:

• Active noise control
• Adaptive control
• Feedback effect
• Cross correlation

Additional information

Notes on contributors

G Panda

Ganapati Panda received BSc Engg degree in Electrical Engg in 1971 and MSc Engg degree in Coomunication System in. 1977 from Sambalpur University. He was awarded with PhD degree in digital signal processing from IIT, Kharagpur in 1982. During 1984–86 he was a postdoctoral fellow at University of Edinburgh, UK under Common Wealth fellowship program, specializing in adaptive signal processing.

He served as a Lecturer from 1972 to 1979 and as a Reader from 1979 to 1988 at University College of Engg, Burla, India. He then joined as a Professor and Head in the Applied Electronics and Instrumentation Engg department of National Institute of Technology (formerly REC), Rourkela, Orissa, in 1988 and continuing till date.

He has received the prestigious Samanta Chandra Sekhar Award from Department of Science and Technology, Government of Orissa in 1993 for outstanding contribution to engineering and technology. In 2000 he has been nominated as a Fellow of National Academy of Engineers (FNAE) for significant contribution to soft computing and DSP applications to telecommunication engineering. In addition, he is a Fellow of Institute of Engineers, and IETE, India, life member of CSI and ISTE, and senior member of IEEE.

On academic assignment he has visited USA, UK, France, Japan, and Singapore. He has successfully completed 20 research and developmental projects sponsored by different organizations. He has already guided 12 PhD students and published more than 158 papers in referred journals and conferences. He has edited two books. He has received many gold medals as best paper award. He is a member of AICTE expert team, sectional committee of INAE and National Board of Accreditation. He is a regular reviewer of research papers of many international journals.

His research interests are in the field of digital signal processing, digital communication, soft computing, intelligent instrumentation, and power system.

D P Das

Debi Prasad Das received BSc degree in Physics from Utkal University and MSc degree in Electronics from Sambalpur University in 1996 and 1998, respectively. He has completed his PhD and submitted the thesis to National Institute of Technology, Rourkela in July 2003. His PhD topic is “Active Noise Control using DSP and Soft Computing Techniques”.

While at National Institute of Technology, Rourkela he was working as a research assistant in the VLSI design project, which was sponsored by ministry of information technology, Government of India. He is currently working as an Assistant Professor and Head of the department of Electronics, Silicon Institute of Technology, Bhubaneswar. He has published many research papers in national and international Journals / Conferences of repute. Recently one of his papers received the best paper award in international conference CIT-2003.

His research interests are adaptive linear and nonlinear signal processing, active noise control, DSP, soft computing, VLSI design, and development of embedded systems using microcontroller and FPGA.