Source number detection with nested arrays and ULAs using jackknifing

Keyong Han, Arye Nehorai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

We consider the problem of source number detection based on uniform linear arrays (ULAs) and the recently proposed nested arrays. A ULA with N sensors can detect at most N - 1 sources, whereas a nested array provides O(N2) degrees of freedom with O(N) sensors, enabling us to detect K sources with N<K sensors. In order to make full use of the available limited valuable data, we propose a novel strategy, which is inspired by the jackknifing resampling method. Exploiting numerous iterations of subsets of the whole data set, this strategy helps the existing detection methods achieve great improvements. Numerical simulations demonstrate the advantage of our strategy, both for ULAs and nested arrays.

Original languageEnglish
Title of host publication2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013
Pages57-60
Number of pages4
DOIs
StatePublished - 2013
Event2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013 - Saint Martin, France
Duration: Dec 15 2013Dec 18 2013

Publication series

Name2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013

Conference

Conference2013 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, CAMSAP 2013
Country/TerritoryFrance
CitySaint Martin
Period12/15/1312/18/13

Keywords

  • jackknifing
  • nested array
  • Source number detection
  • uniform linear array

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