Language:
English
繁體中文
Help
Login
Back
Switch To:
Labeled
|
MARC Mode
|
ISBD
Indoor Localization Based on Visible...
~
Wang, Yi.
Indoor Localization Based on Visible Light Communication.
Record Type:
Language materials, printed : Monograph/item
Title/Author:
Indoor Localization Based on Visible Light Communication./
Author:
Wang, Yi.
Published:
Ann Arbor : ProQuest Dissertations & Theses, : 2017,
Description:
50 p.
Notes:
Source: Masters Abstracts International, Volume: 56-05.
Contained By:
Masters Abstracts International56-05(E).
Subject:
Electrical engineering. -
Online resource:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10282884
ISBN:
9781369867169
Indoor Localization Based on Visible Light Communication.
Wang, Yi.
Indoor Localization Based on Visible Light Communication.
- Ann Arbor : ProQuest Dissertations & Theses, 2017 - 50 p.
Source: Masters Abstracts International, Volume: 56-05.
Thesis (M.S.)--Lehigh University, 2017.
With the increasing demand for accurate indoor localization and widespread deployment of light-emitting diodes (LEDs) for lighting, there has been a dramatic rise in research activities in many areas of indoor localization based on visible light communication (VLC), including modeling of VLC channels, localization methods, localization algorithms, and localization systems.
ISBN: 9781369867169Subjects--Topical Terms:
596380
Electrical engineering.
Indoor Localization Based on Visible Light Communication.
LDR
:03225nam a2200325 4500
001
890685
005
20180727091502.5
008
180907s2017 ||||||||||||||||| ||eng d
020
$a
9781369867169
035
$a
(MiAaPQ)AAI10282884
035
$a
(MiAaPQ)lehigh:11747
035
$a
AAI10282884
040
$a
MiAaPQ
$c
MiAaPQ
100
1
$a
Wang, Yi.
$3
1091290
245
1 0
$a
Indoor Localization Based on Visible Light Communication.
260
1
$a
Ann Arbor :
$b
ProQuest Dissertations & Theses,
$c
2017
300
$a
50 p.
500
$a
Source: Masters Abstracts International, Volume: 56-05.
500
$a
Adviser: Jing Li.
502
$a
Thesis (M.S.)--Lehigh University, 2017.
520
$a
With the increasing demand for accurate indoor localization and widespread deployment of light-emitting diodes (LEDs) for lighting, there has been a dramatic rise in research activities in many areas of indoor localization based on visible light communication (VLC), including modeling of VLC channels, localization methods, localization algorithms, and localization systems.
520
$a
In VLC based indoor localization systems, the reflection, interference and noise in the VLC channels cause the loss, fading and distortion of the transmitted signals. The bandwidth and the signal-to-noise ratio (SNR) of the channel directly affect the channel capacity, the design of modulation scheme, the transmitted power and the data rate. Therefore, it is imperative to capture the characteristics of different VLC channels and properly model them for dual purpose of illumination and localization. We start by a systematic investigation of the VLC channel models. We first investigate three possible configurations of indoor VLC links, and evaluate two widely used VLC channel models -- the directed light-of-sight (LOS) optical channel and the nondirected LOS optical channel model. We next investigate the electrical SNR for VLC channels with intersymbol interference (ISI) and without ISI, and provide closed-form derivations to clarify some confusion on the electrical SNR in the literature.
520
$a
To help design and especially evaluate VLC localization schemes, we investigate, analyze and compare four possible localization methods applied to indoor VLC localization---time of arrival (TOA) methods, time difference of arrival (TDOA) methods, received signal strength (RSS) methods and angle of arrival (AOA) methods. For practicality, we consider intensity modulation and direct detection (IM/DD) and explore the dilution of precision (DOP) analysis, a metric that has been successfully deployed in GPS localization and AOA-based localization. For RSS-based indoor VLC localization, we establish a closed-form relation between positional DOP (PDOP) and the accuracy of RSS-based indoor VLC localization, use PDOP to analyze two localization scenarios with different LED grid patterns, and quantize the effect of LED grid patterns on the position errors. Simulation results confirm the effectiveness of the proposed approach.
590
$a
School code: 0105.
650
4
$a
Electrical engineering.
$3
596380
650
4
$a
Engineering.
$3
561152
690
$a
0544
690
$a
0537
710
2
$a
Lehigh University.
$b
Electrical Engineering.
$3
1148530
773
0
$t
Masters Abstracts International
$g
56-05(E).
790
$a
0105
791
$a
M.S.
792
$a
2017
793
$a
English
856
4 0
$u
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10282884
based on 0 review(s)
Multimedia
Reviews
Add a review
and share your thoughts with other readers
Export
pickup library
Processing
...
Change password
Login