원문정보
국제인공지능학회(구 한국인터넷방송통신학회)
The International Journal of Advanced Smart Convergence
Volume 4 Number 2
2015.11
pp.177-185
피인용수 : 0건 (자료제공 : 네이버학술정보)
초록
영어
In this paper we introduce Kernel Fisher Discriminant Analysis (KFDA) to transform our database of received signal strength (RSS) measurements into a smaller dimension space to maximize the difference between reference points (RP) as possible. By KFDA, we can efficiently utilize RSS data than other method so that we can achieve a better performance.
목차
Abstract
1. INTRODUCTION
2. INDOOR LOCALIZATION VIA KERNEL FISHER DISCRIMINANT ANALYSIS
2.1 Localization Algorithm
2.2 Kernel Fisher Discriminant Analysis for Localization
3. PARTICLE FILTER BASED FINGERPRINTING LOCALIZATION
4. PERFORMANCE EVALUATION
ACKNOWLEDGEMENT
REFERENCES
1. INTRODUCTION
2. INDOOR LOCALIZATION VIA KERNEL FISHER DISCRIMINANT ANALYSIS
2.1 Localization Algorithm
2.2 Kernel Fisher Discriminant Analysis for Localization
3. PARTICLE FILTER BASED FINGERPRINTING LOCALIZATION
4. PERFORMANCE EVALUATION
ACKNOWLEDGEMENT
REFERENCES
저자정보
참고문헌
자료제공 : 네이버학술정보