Removal of coherent extremely low frequency (ELF) background noise by adaptive noise cancelation
Samuel J. Strange · Defense Technical Information Center (DTIC) · 1993
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. Extremely Low Frequency(ELF), Adaptive noise cancelation, Sequential Regression Algorithm(SER)