Integrating Correlation Acquisition with Location Optimization for Accurate Indoor Lightwave Robot Positioning

Chun Chieh Liu, Jhe Ren Cheng, Jen-Fa Huan

Research output: Contribution to journalConference article

1 Citation (Scopus)

Abstract

In this paper, we proposed an indoor lightwave positioning system contains correlation operations with genetic algorithms. The implemented CDMA signaling system by spread spectrum (SS) codes can locate the position of the robot receiver as against noise interference. In the allocated LED transmitters, each channel of the transmitted signals is modulated into a series of maximal-length sequence code (M-sequence code) by LED light blinking. In the robot receiver, correlation peaks detection between received summed signal and each local replica signal is based to estimate the distance from each transmitter to the robot. We choose three transmitters among five to closest to the robot for more reliable positioning information. The robot positioning is first estimated by time difference of arrival (TDOA) and then genetic algorithm (GA) optimization is applied for more accurate robot location. We finally simulate out the TDOA result and analyze the accuracy of the robot position.

Original languageEnglish
Pages (from-to)304-311
Number of pages8
JournalProcedia Computer Science
Volume110
DOIs
Publication statusPublished - 2017 Jan 1
Event14th International Conference on Mobile Systems and Pervasive Computing, MobiSPC 2017 - Leuven, Belgium
Duration: 2017 Jul 242017 Jul 26

Fingerprint

Robots
Transmitters
Light emitting diodes
Genetic algorithms
Code division multiple access
Time difference of arrival

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

Cite this

@article{fe5abcc7ac1b4ed78812aa1d63d3eb8c,
title = "Integrating Correlation Acquisition with Location Optimization for Accurate Indoor Lightwave Robot Positioning",
abstract = "In this paper, we proposed an indoor lightwave positioning system contains correlation operations with genetic algorithms. The implemented CDMA signaling system by spread spectrum (SS) codes can locate the position of the robot receiver as against noise interference. In the allocated LED transmitters, each channel of the transmitted signals is modulated into a series of maximal-length sequence code (M-sequence code) by LED light blinking. In the robot receiver, correlation peaks detection between received summed signal and each local replica signal is based to estimate the distance from each transmitter to the robot. We choose three transmitters among five to closest to the robot for more reliable positioning information. The robot positioning is first estimated by time difference of arrival (TDOA) and then genetic algorithm (GA) optimization is applied for more accurate robot location. We finally simulate out the TDOA result and analyze the accuracy of the robot position.",
author = "Liu, {Chun Chieh} and Cheng, {Jhe Ren} and Jen-Fa Huan",
year = "2017",
month = "1",
day = "1",
doi = "10.1016/j.procs.2017.06.099",
language = "English",
volume = "110",
pages = "304--311",
journal = "Procedia Computer Science",
issn = "1877-0509",
publisher = "Elsevier BV",

}

Integrating Correlation Acquisition with Location Optimization for Accurate Indoor Lightwave Robot Positioning. / Liu, Chun Chieh; Cheng, Jhe Ren; Huan, Jen-Fa.

In: Procedia Computer Science, Vol. 110, 01.01.2017, p. 304-311.

Research output: Contribution to journalConference article

TY - JOUR

T1 - Integrating Correlation Acquisition with Location Optimization for Accurate Indoor Lightwave Robot Positioning

AU - Liu, Chun Chieh

AU - Cheng, Jhe Ren

AU - Huan, Jen-Fa

PY - 2017/1/1

Y1 - 2017/1/1

N2 - In this paper, we proposed an indoor lightwave positioning system contains correlation operations with genetic algorithms. The implemented CDMA signaling system by spread spectrum (SS) codes can locate the position of the robot receiver as against noise interference. In the allocated LED transmitters, each channel of the transmitted signals is modulated into a series of maximal-length sequence code (M-sequence code) by LED light blinking. In the robot receiver, correlation peaks detection between received summed signal and each local replica signal is based to estimate the distance from each transmitter to the robot. We choose three transmitters among five to closest to the robot for more reliable positioning information. The robot positioning is first estimated by time difference of arrival (TDOA) and then genetic algorithm (GA) optimization is applied for more accurate robot location. We finally simulate out the TDOA result and analyze the accuracy of the robot position.

AB - In this paper, we proposed an indoor lightwave positioning system contains correlation operations with genetic algorithms. The implemented CDMA signaling system by spread spectrum (SS) codes can locate the position of the robot receiver as against noise interference. In the allocated LED transmitters, each channel of the transmitted signals is modulated into a series of maximal-length sequence code (M-sequence code) by LED light blinking. In the robot receiver, correlation peaks detection between received summed signal and each local replica signal is based to estimate the distance from each transmitter to the robot. We choose three transmitters among five to closest to the robot for more reliable positioning information. The robot positioning is first estimated by time difference of arrival (TDOA) and then genetic algorithm (GA) optimization is applied for more accurate robot location. We finally simulate out the TDOA result and analyze the accuracy of the robot position.

UR - http://www.scopus.com/inward/record.url?scp=85028638182&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85028638182&partnerID=8YFLogxK

U2 - 10.1016/j.procs.2017.06.099

DO - 10.1016/j.procs.2017.06.099

M3 - Conference article

VL - 110

SP - 304

EP - 311

JO - Procedia Computer Science

JF - Procedia Computer Science

SN - 1877-0509

ER -