Source localization on two-dimensional grid

Kui Liu; Yang Cheng; Pan Li; Tarunraj Singh

doi:10.1109/GLOCOM.2011.6134384

Source localization on two-dimensional grid

Kui Liu
, Yang Cheng
, Pan Li
, Tarunraj Singh

Department of Mechanical and Aerospace Engineering

Mississippi State University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

A computationally efficient algorithm is presented for locating multiple sources on a two-dimensional grid. The total number of the sources as well as their intensities and locations on the two-dimensional grid are assumed unknown and the intensities of the sources are not necessarily identical. The distribution of the source intensity on the grid, which contains all the information about the sources, is obtained by solving a convex optimization problem. With the source distribution interpreted as a two-dimensional gray-level image, the sources are determined as the centroids of the objects in the image. Given the number of sources and the source locations, the source intensities are estimated by solving a linear least-squares problem.

Original language	English
Title of host publication	2011 IEEE Global Telecommunications Conference, GLOBECOM 2011
DOIs	https://doi.org/10.1109/GLOCOM.2011.6134384
State	Published - 2011
Event	54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011 - Houston, TX, United States Duration: Dec 5 2011 → Dec 9 2011

Publication series

Name	GLOBECOM - IEEE Global Telecommunications Conference

Conference

Conference	54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011
Country/Territory	United States
City	Houston, TX
Period	12/5/11 → 12/9/11

Keywords

convex optimization
image processing
localization
two-dimensional grid

Access to Document

10.1109/GLOCOM.2011.6134384

Cite this

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title = "Source localization on two-dimensional grid",

abstract = "A computationally efficient algorithm is presented for locating multiple sources on a two-dimensional grid. The total number of the sources as well as their intensities and locations on the two-dimensional grid are assumed unknown and the intensities of the sources are not necessarily identical. The distribution of the source intensity on the grid, which contains all the information about the sources, is obtained by solving a convex optimization problem. With the source distribution interpreted as a two-dimensional gray-level image, the sources are determined as the centroids of the objects in the image. Given the number of sources and the source locations, the source intensities are estimated by solving a linear least-squares problem.",

keywords = "convex optimization, image processing, localization, two-dimensional grid",

author = "Kui Liu and Yang Cheng and Pan Li and Tarunraj Singh",

year = "2011",

doi = "10.1109/GLOCOM.2011.6134384",

language = "English",

isbn = "9781424492688",

series = "GLOBECOM - IEEE Global Telecommunications Conference",

booktitle = "2011 IEEE Global Telecommunications Conference, GLOBECOM 2011",

note = "54th Annual IEEE Global Telecommunications Conference: {"}Energizing Global Communications{"}, GLOBECOM 2011 ; Conference date: 05-12-2011 Through 09-12-2011",

}

Liu, K, Cheng, Y, Li, P & Singh, T 2011, Source localization on two-dimensional grid. in 2011 IEEE Global Telecommunications Conference, GLOBECOM 2011., 6134384, GLOBECOM - IEEE Global Telecommunications Conference, 54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011, Houston, TX, United States, 12/5/11. https://doi.org/10.1109/GLOCOM.2011.6134384

TY - GEN

T1 - Source localization on two-dimensional grid

AU - Liu, Kui

AU - Cheng, Yang

AU - Li, Pan

AU - Singh, Tarunraj

PY - 2011

Y1 - 2011

N2 - A computationally efficient algorithm is presented for locating multiple sources on a two-dimensional grid. The total number of the sources as well as their intensities and locations on the two-dimensional grid are assumed unknown and the intensities of the sources are not necessarily identical. The distribution of the source intensity on the grid, which contains all the information about the sources, is obtained by solving a convex optimization problem. With the source distribution interpreted as a two-dimensional gray-level image, the sources are determined as the centroids of the objects in the image. Given the number of sources and the source locations, the source intensities are estimated by solving a linear least-squares problem.

AB - A computationally efficient algorithm is presented for locating multiple sources on a two-dimensional grid. The total number of the sources as well as their intensities and locations on the two-dimensional grid are assumed unknown and the intensities of the sources are not necessarily identical. The distribution of the source intensity on the grid, which contains all the information about the sources, is obtained by solving a convex optimization problem. With the source distribution interpreted as a two-dimensional gray-level image, the sources are determined as the centroids of the objects in the image. Given the number of sources and the source locations, the source intensities are estimated by solving a linear least-squares problem.

KW - convex optimization

KW - image processing

KW - localization

KW - two-dimensional grid

UR - https://www.scopus.com/pages/publications/84857217278

U2 - 10.1109/GLOCOM.2011.6134384

DO - 10.1109/GLOCOM.2011.6134384

M3 - Conference contribution

AN - SCOPUS:84857217278

SN - 9781424492688

T3 - GLOBECOM - IEEE Global Telecommunications Conference

BT - 2011 IEEE Global Telecommunications Conference, GLOBECOM 2011

T2 - 54th Annual IEEE Global Telecommunications Conference: "Energizing Global Communications", GLOBECOM 2011

Y2 - 5 December 2011 through 9 December 2011

ER -

Source localization on two-dimensional grid

Abstract

Publication series

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Keywords

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