Removal of coherent extremely low frequency (ELF) background noise by adaptive noise cancelation
By:  Samuel J. Strange
Publisher: Naval Postgraduate School; Available from National Technical Information Service
Published: 1993
Place of publication: Monterey, Calif; Springfield, Va
Language: eng
Number of pages: 66
Description: The use of the Sequential Regression Algorithm (SER) to coherently remove background noise from an ELF sensor is presented. The SER algorithm is described for a multi-channel application in order to cancel coherent portions of reference sensors from a primary sensor. The algorithm adaptively accounts for differences between two parallel array platforms for the purpose of coherent subtraction. A section on likelihood ratio detector schemes for detecting narrowband signals is also presented. This work is in support of a submerged ELF sensor array project run by the Johns Hopkins University Applied Physics Lab
Notes: Thesis advisor(s): Danny G. Farley ;  Amir-H Najmi.

"September 1993."

Thesis (M.S. in Systems Engineering) Naval Postgraduate School, September 1993.

Includes bibliographical references.

Approved for public release; distribution unlimited.