WiFi indoor location determination via ANFIS with PCA methods

Proceedings of 2009 IEEE International Conference on Network Infrastructure and Digital Content, IEEE IC-NIDC2009

Volumn , Issue , 2009, Pages 647-651

  Xu, Yubin ^a   Zhou, Mu ^a   Ma, Lin ^a  

^a HARBIN INSTITUTE OF TECHNOLOGY   (China)

Author keywords

Clustering; Fuzzy inference system; Indoor location; Principal component; WiFi

Indexed keywords

ADAPTIVE NEURO-FUZZY INFERENCE SYSTEM; ARTIFICIAL NEURAL NETWORK; CLUSTERING; EXPERIMENTAL COMPARISON; FUZZY INFERENCE SYSTEMS; INDOOR LOCATION; INDOOR LOCATION SYSTEM; K-NEAREST NEIGHBORS; LOCATION DETERMINATION; MOBILE TERMINAL; MULTIPLE ACCESS POINTS; PCA METHOD; POSITION DETERMINATION; PRINCIPAL COMPONENT SPACE; PRINCIPAL COMPONENTS; RECEIVED SIGNAL STRENGTH; SIGNAL VECTORS; SPACE TRANSFORMATIONS; STORAGE COSTS; SUBTRACTIVE CLUSTERING; SYSTEM-BASED; THREE DIMENSIONAL COORDINATE; WI-FI SIGNALS;

FUZZY INFERENCE; FUZZY SYSTEMS; NEURAL NETWORKS; SIGNAL TO NOISE RATIO; VECTOR SPACES; WI-FI; WIRELESS NETWORKS;

PRINCIPAL COMPONENT ANALYSIS;

EID: 77649289046     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICNIDC.2009.5360877     Document Type: Conference Paper

References (10)

1. A. H. Sayed, A. Tarighat, N. Khajehnouri. Network-based Wireless Location: Challenges Faced in Developing Techniques for Accurate Wireless Location. IEEE Signal Processing Magazine, VOL 22, NO 4, 2005, pp: 24-40
2. U. Ahmad, A. Gavrilov, L. Sungyoung, et al. Modular Multilayer Perceptron for WLAN Based Localization. International Joint Conference on Neural Networks, 2006, pp: 3465-3471
3. M. Hazas, J. Scott, J. Krumm. Location-Aware Computing Comes of Age. IEEE Computer, VOL 37, NO 2, 2004, pp: 95-97
4. R. Want, B. Schilit. Expanding the Horizons of Location-aware Computing. IEEE Computer. VOL 34, NO 8, 2001, pp: 31-34
5. Q. X. Pang, S. C. Liew, V. C. Leung, et al. Design of An Effective Loss-distinguishable MAC Protocol for 802.11 WLAN. IEEE Communications Letters. VOL 9, NO 9, 2005, pp:781-783
6. S. Nattapong, P. Krishnamurthy. Location Fingerprint Analyses toward Efficient Indoor Positioning. Sixth Annual IEEE International Conference on Pervasive Computing and Communications. 2008, pp: 100-109
7. K. Kaemarungsi. Efficient Design of Indoor Positioning Systems Based on Location Fingerprinting. International Conference on Wireless Networks, Communications and Mobile Computing. 2005, pp: 181-186
8. M. Buragohain, C. Mahanta. ANFIS Modeling of Nonlinear System Based on Combined FFD-Vfold Technique. IEEE International Conference on industrial Technology. 2006, pp: 2462-2467.
9. M. A. Shoorehdeli. Identification Using ANFIS with Intelligent Hybrid Stable Learning Algorithm Approaches and Stability Analysis of Training Methods. Applied Soft Computing. VOL 9, NO 2, 2009, pp: 833-850
10. M. Buragohain, C. Mahanta. A Novel Approach for ANFIS Modeling Based on Full Factorial Design. Applied Soft Computing, VOL 8, NO 1,2008, pp: 609-625