Detecting point-like sources of unknown frequency spectra

Raffaele Solimene; Giuseppe Ruvio; Angela Dell'Aversano; Antonio Cuccaro; Max J. Ammann; Rocco Pierri

doi:10.2528/PIERB13030414

Detecting point-like sources of unknown frequency spectra

Raffaele Solimene, Giuseppe Ruvio, Angela Dell'Aversano, Antonio Cuccaro, Max J. Ammann, Rocco Pierri

School of Electrical and Electronic Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

The problem of detecting point-like sources whose frequency spectrum is unknown is addressed. Limitations of singlefrequency approaches are identified by analytical as well as numerical arguments. To overcome these limits, different multifrequency approaches which combine frequency data incoherently are compared. In particular, a novel multifrequency MUSIC-like algorithm based on interferometric concepts is proposed. Results show that the algorithm outperforms other methods under comparison.

Original language	English
Pages (from-to)	347-364
Number of pages	18
Journal	Progress In Electromagnetics Research B
Volume	50
DOIs	https://doi.org/10.2528/PIERB13030414
Publication status	Published - 2013

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title = "Detecting point-like sources of unknown frequency spectra",

abstract = "The problem of detecting point-like sources whose frequency spectrum is unknown is addressed. Limitations of singlefrequency approaches are identified by analytical as well as numerical arguments. To overcome these limits, different multifrequency approaches which combine frequency data incoherently are compared. In particular, a novel multifrequency MUSIC-like algorithm based on interferometric concepts is proposed. Results show that the algorithm outperforms other methods under comparison.",

author = "Raffaele Solimene and Giuseppe Ruvio and Angela Dell'Aversano and Antonio Cuccaro and Ammann, \{Max J.\} and Rocco Pierri",

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AU - Solimene, Raffaele

AU - Ruvio, Giuseppe

AU - Dell'Aversano, Angela

AU - Cuccaro, Antonio

AU - Ammann, Max J.

AU - Pierri, Rocco

PY - 2013

Y1 - 2013

N2 - The problem of detecting point-like sources whose frequency spectrum is unknown is addressed. Limitations of singlefrequency approaches are identified by analytical as well as numerical arguments. To overcome these limits, different multifrequency approaches which combine frequency data incoherently are compared. In particular, a novel multifrequency MUSIC-like algorithm based on interferometric concepts is proposed. Results show that the algorithm outperforms other methods under comparison.

AB - The problem of detecting point-like sources whose frequency spectrum is unknown is addressed. Limitations of singlefrequency approaches are identified by analytical as well as numerical arguments. To overcome these limits, different multifrequency approaches which combine frequency data incoherently are compared. In particular, a novel multifrequency MUSIC-like algorithm based on interferometric concepts is proposed. Results show that the algorithm outperforms other methods under comparison.

UR - https://www.scopus.com/pages/publications/84882995198

U2 - 10.2528/PIERB13030414

DO - 10.2528/PIERB13030414

M3 - Article

AN - SCOPUS:84882995198

SN - 1937-6472

VL - 50

SP - 347

EP - 364

JO - Progress In Electromagnetics Research B

JF - Progress In Electromagnetics Research B

ER -

Detecting point-like sources of unknown frequency spectra

Abstract

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