Lucky ranging in underwater environments subject to spatial coherence loss

Hongya Ge, Ivars P. Kirsteins

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

For passive ranging in environments subject to unknown fluctuating spatial coherence losses, we derive a new lucky maximum likelihood estimator based on the probabilistic assumption that each collected data snapshot is either coherent or purely incoherent with some probability. Our lucky range estimator can be interpreted as first ranking the coherence quality of each data snapshot according to an array gain-like quantity during the parameter search, followed by accumulation of likelihood surfaces out of data snapshots of high spatial-coherence. This effectively avoids the wash-out or the smearing results encountered in the traditional procedures of utilizing a long integration time without a prior screening for the data spatial-coherence. A connection to the adaptive coherence estimator (ACE) is revealed. Also established is an equivalence between the lucky MLE and the Kullback-Leibler (KL) divergence based spatial coherence test.

Original languageEnglish (US)
Title of host publicationConference Record of the 49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Pages1659-1663
Number of pages5
ISBN (Electronic)9781467385763
DOIs
StatePublished - Feb 26 2016
Event49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States
Duration: Nov 8 2015Nov 11 2015

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2016-February
ISSN (Print)1058-6393

Other

Other49th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
CountryUnited States
CityPacific Grove
Period11/8/1511/11/15

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications

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