Indoor localization based on cellular telephony RSSI fingerprints containing very large numbers of carriers

EURASIP Journal on Wireless Communications and Networking

Table 2 Percentage of correctly classified test set examples (lab set)

Classifier	Current Top 7	N Strongest	All N_max(= 534) carriers
Linear SVM
One-vs-one
w/PCA	38.6 (PC = 8)	70.3 (N = 490, PC = 10)	70.3 (PC = 8)
w/o PCA	35.6	98 (N = 280)	100
One-vs-all
w/PCA	32.6 (PC = 8)	59.6 (N = 520, PC = 10)	59.6 (PC = 10)
w/o PCA	45.5	95.1 (N = 390)	94.1
Gaussian SVM
One-vs-one	*	*	*
One-vs-all
w/PCA	49.5 (PC = 10)	76.6 (N = 530, PC = 10)	68.3 (PC = 10)
w/o PCA	54.5	96.6 (N = 290)	**
K- NN	52.5 (K = 6)	68.3 (N = 320, K = 13)	71.3 (K = 10)

N is the number of carriers used in N Strongest. The optimal number of principal components PC, and optimal K of the K- NN classifier, are given in parentheses.
*It was unnecessary to apply the Gaussian SVM to the one-vs-one case because the training sets were always found to be linearly separable using Ho-Kashyap.
**It is not meaningful to apply the Gaussian SVM to the All Nmax Carriers fingerprint, due to Cover's theorem (see text).