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

Chun Chieh Liu, Jhe Ren Cheng, Jen Fa Huang

Research output: Contribution to journalConference articlepeer-review

3 Citations (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
Event14th International Conference on Mobile Systems and Pervasive Computing, MobiSPC 2017 - Leuven, Belgium
Duration: 2017 Jul 242017 Jul 26

All Science Journal Classification (ASJC) codes

  • Computer Science(all)

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