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1580 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 46, NO. 6, JUNE 1998 Separation of Multiple Time Delays
 

Summary: 1580 IEEE TRANSACTIONS ON SIGNAL PROCESSING, VOL. 46, NO. 6, JUNE 1998
Separation of Multiple Time Delays
Using New Spectral Estimation Schemes
Mohammed A. Hasan, Mahmood R. Azimi-Sadjadi, Senior Member, IEEE, and Gerald J. Dobeck
Abstract--The problem of estimating multiple time delays in
presence of colored noise is considered in this paper. This prob-
lem is first converted to a high-resolution frequency estimation
problem. Then, the sample lagged covariance matrices of the
resulting signal are computed and studied in terms of their
eigenstructure. These matrices are shown to be as effective in
extracting bases for the signal and noise subspaces as the stan-
dard autocorrelation matrix, which is normally used in MUSIC
and the pencil-based methods. Frequency estimators are then
derived using these subspaces. The effectiveness of the method is
demonstrated on two examples: a standard frequency estimation
problem in presence of colored noise and a real-world problem
that involves separation of multiple specular components from
the acoustic backscattered from an underwater target.
Index Terms--Data decimation, spectral estimation, underwa-
ter acoustics.

  

Source: Azimi-Sadjadi, Mahmood R. - Department of Electrical and Computer Engineering, Colorado State University

 

Collections: Computer Technologies and Information Sciences