Publications
Application of multitaper methods to passive sonar
Invited talk in special session on Signal Processing in Acoustics, Acoustical Oceanography, and Underwater Acoustics
Abstract
While the multitaper spectral estimation method [Thomson, IEEE Proceedings 70, 1055-1096 (1982)] is used extensively in time series analysis, it has received much less attention in the array processing literature. The multitaper approach reduces the variance of power estimates by averaging windowed Fourier transforms of the data obtained using a set of orthogonal window functions. One advantage of the multitaper method is that it is designed to work with low sample support. Since multitaper estimates are often formed using a single data snapshot, they are suitable for use in highly non-stationary environments where it is difficult to obtain reliable estimates of the noise and interference statistics. This talk focuses on the application of the multitaper method to the passive sonar array processing problem . Standard techniques exist for detecting the presence of line components using multitaper estimates. This talk describes how to extend these techniques to detect planewaves in sonar data, where the signals are typically modeled as complex Gaussian rather than deterministic. Processing of non-planewave signals, e.g., normal modes, will also be briefly discussed. [Work supported by an ONR Young Investigator Award.]
© 2007 Acoustical Society of America. This abstract may be downloaded for personal use only. Any other use requires the permission of the author and the Acoustical Society of America. The abstract appeared in the Journal of the Acoustical Society of America, vol. 121(5), p. 3172, May 2007 and may also be found on the JASA website.