Nonlinear signal processing techniques for direction-of-arrival estimation
Prof. G.V. Anand, Indian Institute of Science, Bangalore

Seminar • 28 June 2004 • BM 5.202

Abstract
Several high-resolution direction-of-arrival (DOA) estimation techniques such as MUSIC are currently in use. The performance of these techniques is known to degrade as the signal-to-noise ratio (SNR) is decreased, and the degradation becomes unacceptably large for SNR typicaly below 0 dB. This degradation in performance may be arrested by the application of appropriate preprocessing techniques to boost the SNR prior to DOA estimation. In this talk, two SNR enhancement techniques will be presented, viz.(1) wavelet array denoising under Gaussian noise, and (2) stochastic resonance under non-Gaussian noise. Simulation results will be presented to illustrate the improvement in the DOA estimation performance of MUSIC due to the application of these preprocessing techniques.
Biography of the speaker:
G.V. Anand, Professor
Department of Electrical Communication Engineering
Indian Institute of Science
Bangalore 560 012, India

- B.Sc (1962), M.Sc (1964), Osmania University, Hyderabad, India
- Ph.D (1969), Indian Institute of Science, Bangalore
- Joined the faculty of IISc as lecturer, ECE Department, in 1969. Professor since 1984
- Commonwealth Academic Staff Fellow, University College, London (1978-79)
- Visiting Scientist, Naval Physical & Oceanographic Laboratory, Cochin,India (1996-97)
- Invited Professor, University of Angers, France (2002 and 2004)
- Visiting Professor, Cankaya University, Ankara, Turkey (2003-04)
- Fellow of Indian Academy of Sciences, Indian National Academy of Engineering, Institution of Electronics and Telecommunication Engineers of India, Acoustical Society of India
- Research interests : mathematical modeling of undersea sound propagation, inverse problems in ocean acoustics, statistical signal processing, nonlinear dynamics