Super-Resolution Algorithm in Cumulative Virtual Blanking

J.P. Montillet; X. Meng; G.W. Roberts; M.S. Woolfson

doi:10.1063/1.3037047

Super-Resolution Algorithm in Cumulative Virtual Blanking

J.P. Montillet, X. Meng, G.W. Roberts, M.S. Woolfson

Research output: Contribution to journal › Conference article

Abstract

The proliferation of mobile devices and the emergence of wireless location‐based services have generated consumer demand for precise location. In this paper, the MUSIC super‐resolution algorithm is applied to time delay estimation for positioning purposes in cellular networks. The goal is to position a Mobile Station with UMTS technology. The problem of Base‐Stations herability is solved using Cumulative Virtual Blanking. A simple simulator is presented using DS‐SS signal. The results show that MUSIC algorithm improves the time delay estimation in both the cases whether or not Cumulative Virtual Blanking was carried out.

Original language	English
Article number	178
Pages (from-to)	178-181
Journal	AIP Conference Proceedings
Volume	1060
Issue number	1
DOIs	https://doi.org/10.1063/1.3037047
Publication status	Published - 2008

Keywords

super-resolution
UMST
mobile stations
Cumulative Virtual Blanking
DD-SS signal

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1063/1.3037047

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title = "Super-Resolution Algorithm in Cumulative Virtual Blanking",

abstract = "The proliferation of mobile devices and the emergence of wireless location‐based services have generated consumer demand for precise location. In this paper, the MUSIC super‐resolution algorithm is applied to time delay estimation for positioning purposes in cellular networks. The goal is to position a Mobile Station with UMTS technology. The problem of Base‐Stations herability is solved using Cumulative Virtual Blanking. A simple simulator is presented using DS‐SS signal. The results show that MUSIC algorithm improves the time delay estimation in both the cases whether or not Cumulative Virtual Blanking was carried out.",

keywords = "super-resolution, UMST, mobile stations, Cumulative Virtual Blanking, DD-SS signal",

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AU - Meng, X.

AU - Roberts, G.W.

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Y1 - 2008

N2 - The proliferation of mobile devices and the emergence of wireless location‐based services have generated consumer demand for precise location. In this paper, the MUSIC super‐resolution algorithm is applied to time delay estimation for positioning purposes in cellular networks. The goal is to position a Mobile Station with UMTS technology. The problem of Base‐Stations herability is solved using Cumulative Virtual Blanking. A simple simulator is presented using DS‐SS signal. The results show that MUSIC algorithm improves the time delay estimation in both the cases whether or not Cumulative Virtual Blanking was carried out.

AB - The proliferation of mobile devices and the emergence of wireless location‐based services have generated consumer demand for precise location. In this paper, the MUSIC super‐resolution algorithm is applied to time delay estimation for positioning purposes in cellular networks. The goal is to position a Mobile Station with UMTS technology. The problem of Base‐Stations herability is solved using Cumulative Virtual Blanking. A simple simulator is presented using DS‐SS signal. The results show that MUSIC algorithm improves the time delay estimation in both the cases whether or not Cumulative Virtual Blanking was carried out.

KW - super-resolution

KW - UMST

KW - mobile stations

KW - Cumulative Virtual Blanking

KW - DD-SS signal

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EP - 181

JO - AIP Conference Proceedings

JF - AIP Conference Proceedings

IS - 1

M1 - 178

ER -

Super-Resolution Algorithm in Cumulative Virtual Blanking

Abstract

Keywords

UN SDGs

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