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PPT : Compare Accuracy of Different Algorithms

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* Centroid
o Estimate position as arithmetic mean of positions of all heard APs
* Fingerprinting
o User hears APs with some signal strength signature
o Match closest 3 signatures in the radio map
o RADAR: compare using absolute signal strengths [Bahl00]
o RANK: compare using relative ranking of signal strengths [Krumm03]
* Particle Filters
o Probabilistic approximation algorithm for Bayes filter

Baseline Results
* Algorithms matter less (except rank)
* AP density (horizontal/vertical) matters

Effect of APs per scan
* More APs/scan ? lower median error
* Rank does not work with 1 AP/scan
Effects of AP Turnovers
* Minimal effect on accuracy even with 60% AP turnover

Effects of GPS noise
* Particle filter & Centroid are insensitive to GPS noise
Scanning density
* 1 scan per 10 meters is good == 25 mph driving speed at 1 scan/sec
* More war-drives do not help

Summary
* Wi-Fi-based location with low calibration overhead
o 1 city neighborhood in 1 hour
* Positioning accuracy depends mostly on AP density
o Urban 13~20m, Suburban ~40m
o Dense ap records get better acuracy
o In urban area, simple (Centroid) algo. yields same accuracy as other complex ones
* AP turnovers & low training data density do not degrade accuracy significantly
o Low calibration overhead
* Noise in GPS only affects fingerprint algorithms

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PPT : Compare Accuracy of Different Algorithms Category : General Education
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