A survey on the effect of small snapshots number and SNR on the efficiency of the MUSIC algorithm

Giorgos A. Ioannopoulos, D. E. Anagnostou, Michael T. Chryssomallis

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

4 Citations (Scopus)

Abstract

The Multiple Signal Classification (MUSIC) algorithm is applied for a number of cases, in order to associate the performance of angular resolution of a Uniform Linear Array (ULA) with small number of snapshots and Signal-to-Noise Ratio (SNR). The discovery of low limits of these parameters is essential for the practical implementation of MUSIC. The resolution dependence is presented in diagrams and the results are compared with corresponding theoretical limits.

Original languageEnglish
Title of host publicationProceedings of the 2012 IEEE International Symposium on Antennas and Propagation
PublisherIEEE
ISBN (Electronic)9781467304627
ISBN (Print)9781467304610
DOIs
Publication statusPublished - 12 Nov 2012
EventJoint 2012 IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting - Chicago, IL, United States
Duration: 8 Jul 201214 Jul 2012

Conference

ConferenceJoint 2012 IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting
Abbreviated titleAPSURSI 2012
CountryUnited States
CityChicago, IL
Period8/07/1214/07/12

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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    Ioannopoulos, G. A., Anagnostou, D. E., & Chryssomallis, M. T. (2012). A survey on the effect of small snapshots number and SNR on the efficiency of the MUSIC algorithm. In Proceedings of the 2012 IEEE International Symposium on Antennas and Propagation [6349109] IEEE. https://doi.org/10.1109/APS.2012.6349109