Selection of relevant features and examples in machine learning
Artificial Intelligence - Special issue on relevance
The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Robotics-based location sensing using wireless ethernet
Proceedings of the 8th annual international conference on Mobile computing and networking
WLAN Location Determination via Clustering and Probability Distributions
PERCOM '03 Proceedings of the First IEEE International Conference on Pervasive Computing and Communications
Practical robust localization over large-scale 802.11 wireless networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Tracking of mobile phone using IMM in CDMA environment
ICASSP '01 Proceedings of the Acoustics, Speech, and Signal Processing, 2001. on IEEE International Conference - Volume 05
The SkyLoc Floor Localization System
PERCOM '07 Proceedings of the Fifth IEEE International Conference on Pervasive Computing and Communications
Pervasive and Mobile Computing
Location Systems: An Introduction to the Technology Behind Location (Synthesis Lectures on Mobile and Pervasive Computing)
Place lab: device positioning using radio beacons in the wild
PERVASIVE'05 Proceedings of the Third international conference on Pervasive Computing
Accurate GSM indoor localization
UbiComp'05 Proceedings of the 7th international conference on Ubiquitous Computing
PowerLine positioning: a practical sub-room-level indoor location system for domestic use
UbiComp'06 Proceedings of the 8th international conference on Ubiquitous Computing
Bluetooth Tracking without Discoverability
LoCA '09 Proceedings of the 4th International Symposium on Location and Context Awareness
Growing an organic indoor location system
Proceedings of the 8th international conference on Mobile systems, applications, and services
Doorjamb: unobtrusive room-level tracking of people in homes using doorway sensors
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
Enhancing the performance of indoor localization using multiple steady tags
Pervasive and Mobile Computing
From RSSI to CSI: Indoor localization via channel response
ACM Computing Surveys (CSUR)
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CILoS is an indoor localization system based on CDMA mobile phone signal fingerprinting. CDMA networks vary their transmission power to accommodate fluctuations in network load. This affects signal intensity and therefore limits the practicality of traditional fingerprinting approaches based on receiver signal strength (RSSI) measurements. Instead, CILoS uses fingerprints of signal delay that are robust to cell resizing. We demonstrate that CILoS achieves a median accuracy of 5 meters, and compares favourably to RSSI fingerprinting systems. We highlight the significance of wide fingerprints, constructed through scanning multiple channels, for achieving high localization accuracy. We also show that our system can accurately differentiate between floors of a multifloor building.