Underwater Acoustic Data Processing pp 279-284 | Cite as
Parametric Methods for Estimation of Signals and Noise in Wavefields
Chapter
Abstract
The estimation problem of source location parameters has been frequently discussed in the literature. High accuracy and high stability are known properties of conditinal maximum likelihood estimates (CMLE) and of (nonlinear) least squares estimates (LSE) in the frequency domain if the correlation structure of the noise is known. The problem is to find a suitable estimate not requiring this knowledge. In applications as sonar and seismology etc., noise structures can be complicated and unknown. The use of a wrong noise model can result in a break down of the CMLE.
Keywords
Noise Model Little Square Estimate Wave Parameter Noise Structure Array Output
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References
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© Kluwer Academic Publishers 1989