ASA 129th Meeting - Washington, DC - 1995 May 30 .. Jun 06
2aUW16. Minimum variance matched-field source localization with SACLANT
Mediterranean sea trial data.
Jeffrey L. Krolik
Dept. of Elec. Eng., Duke Univ., Box 90291, Durham, NC 27708
The minimum variance (MV) adaptive beamformer has been widely proposed for
matched-field processing because it provides a means of suppressing ambiguous
beampattern ``sidelobes.'' In this paper, the performance of three robust MV
methods is evaluated using vertical array data from the Mediterranean Sea
collected by the NATO SACLANT Centre north of Elba [D. F. Gingras and P.
Gerstoft, 3234 (1994)]. The three MV methods considered are (1) the
reduced MV method (RMV) [C. L. Byrne et al., 2493--2502 (1990)], (2)
the MV method with neighborhood location constraints (MV-NLC) [H. Schmidt et
al., 1851--62 (1990)], and (3) the MV method with environmental
perturbation constraints (MV-EPC) [J. Krolik, 1408--19 (1992)]. Real
data results indicate that each approach has different merits. Projecting the
data onto the reduced space defined by the modal eigenfunctions as in the RMV
is necessary to avoid instabilities caused by highly correlated noise. Using
neighboring location constraints as in the MV-NLC reduces the need to finely
sample the ambiguity surface. And using constraints derived from the
second-order statistics of the signal wavefront averaged over an ensemble of
perturbed environmental parameters as in the MV-EPC increases robustness to
environmental mismatch. [Work supported by ONR.]