Skip to main navigation Skip to search Skip to main content

Direct localization by partly calibrated arrays: A relaxed maximum likelihood solution

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

8 Scopus citations

Abstract

We present a novel relaxed maximum likelihood solution to the problem of direct localization of multiple narrowband sources by partly calibrated arrays, i.e., arrays composed of fully calibrated subarrays yet lacking inter-array calibration. The proposed solution is based on eliminating analytically all the nuisance parameters in the problem, thus reducing the likelihood function to a maximization problem involving only the location of the sources. The performance of the solution is demonstrated via simulations.

Original languageEnglish
Title of host publicationEUSIPCO 2019 - 27th European Signal Processing Conference
PublisherEuropean Signal Processing Conference, EUSIPCO
ISBN (Electronic)9789082797039
DOIs
StatePublished - Sep 2019
Event27th European Signal Processing Conference, EUSIPCO 2019 - A Coruna, Spain
Duration: 2 Sep 2019 → 6 Sep 2019

Publication series

NameEuropean Signal Processing Conference
Volume2019-September
ISSN (Electronic)2076-1465

Conference

Conference27th European Signal Processing Conference, EUSIPCO 2019
Country/TerritorySpain
CityA Coruna
Period2/09/19 → 6/09/19

Keywords

  • Direct localization
  • Partly calibrated arrays
  • Relaxed maximum likelihood
  • Signal subspace

Fingerprint

Dive into the research topics of 'Direct localization by partly calibrated arrays: A relaxed maximum likelihood solution'. Together they form a unique fingerprint.

Cite this