Underdetermined source number estimation based on complex wishart distribution using nested arrays

Yu Rong, Daniel Bliss

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

Abstract

We propose a likelihood test for a covariance estimated from sample data which is used to determine the number of narrow band source signals. This Minimum Description Length (MDL) estimator is shown to be robust against deviations from the assumption of equal noise level across the array. A number of source Direction-Of-Arrivals (DOA) greater than the number of physical array elements is of interest. We propose a novel spatial smoothing algorithm which accurately estimates parameters for the covariance likelihood test. Improved parameter estimation performance is achieved when compared with the conventional spatial smoothing algorithm. Finally, the proposed source number estimator is validated through numerical results and compared with other recently developed approaches.

Original languageEnglish (US)
Title of host publicationMILCOM 2017 - 2017 IEEE Military Communications Conference
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages525-530
Number of pages6
ISBN (Electronic)9781538605950
DOIs
StatePublished - Dec 7 2017
Event2017 IEEE Military Communications Conference, MILCOM 2017 - Baltimore, United States
Duration: Oct 23 2017Oct 25 2017

Publication series

NameProceedings - IEEE Military Communications Conference MILCOM
Volume2017-October

Other

Other2017 IEEE Military Communications Conference, MILCOM 2017
CountryUnited States
CityBaltimore
Period10/23/1710/25/17

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'Underdetermined source number estimation based on complex wishart distribution using nested arrays'. Together they form a unique fingerprint.

Cite this