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

doi:10.1109/APS.2012.6349109

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 proceeding › Conference contribution

5 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 language	English
Title of host publication	Proceedings of the 2012 IEEE International Symposium on Antennas and Propagation
Publisher	IEEE
ISBN (Electronic)	9781467304627
ISBN (Print)	9781467304610
DOIs	https://doi.org/10.1109/APS.2012.6349109
Publication status	Published - 12 Nov 2012
Event	Joint 2012 IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting - Chicago, IL, United States Duration: 8 Jul 2012 → 14 Jul 2012

Conference

Conference	Joint 2012 IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting
Abbreviated title	APSURSI 2012
Country/Territory	United States
City	Chicago, IL
Period	8/07/12 → 14/07/12

ASJC Scopus subject areas

Electrical and Electronic Engineering

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10.1109/APS.2012.6349109

Cite this

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title = "A survey on the effect of small snapshots number and SNR on the efficiency of the MUSIC algorithm",

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.",

author = "Ioannopoulos, {Giorgos A.} and Anagnostou, {D. E.} and Chryssomallis, {Michael T.}",

year = "2012",

month = nov,

day = "12",

doi = "10.1109/APS.2012.6349109",

language = "English",

isbn = "9781467304610",

booktitle = "Proceedings of the 2012 IEEE International Symposium on Antennas and Propagation",

publisher = "IEEE",

address = "United States",

note = "Joint 2012 IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting, APSURSI 2012 ; Conference date: 08-07-2012 Through 14-07-2012",

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Ioannopoulos, GA, Anagnostou, DE & Chryssomallis, MT 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, Joint 2012 IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting, Chicago, IL, United States, 8/07/12. https://doi.org/10.1109/APS.2012.6349109

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T1 - A survey on the effect of small snapshots number and SNR on the efficiency of the MUSIC algorithm

AU - Ioannopoulos, Giorgos A.

AU - Anagnostou, D. E.

AU - Chryssomallis, Michael T.

PY - 2012/11/12

Y1 - 2012/11/12

N2 - 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.

AB - 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.

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DO - 10.1109/APS.2012.6349109

M3 - Conference contribution

AN - SCOPUS:84870529817

SN - 9781467304610

BT - Proceedings of the 2012 IEEE International Symposium on Antennas and Propagation

PB - IEEE

T2 - Joint 2012 IEEE International Symposium on Antennas and Propagation and USNC-URSI National Radio Science Meeting

Y2 - 8 July 2012 through 14 July 2012

ER -

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

Abstract

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ASJC Scopus subject areas

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