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Super-Resolution Algorithm in Cumulative Virtual Blanking

Research output: Contribution to journalConference 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 languageEnglish
Article number178
Pages (from-to)178-181
JournalAIP Conference Proceedings
Volume1060
Issue number1
DOIs
Publication statusPublished - 2008

UN SDGs

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

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  2. SDG 11 - Sustainable Cities and Communities
    SDG 11 Sustainable Cities and Communities

Keywords

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

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