Improved Radio Frequency Identification Indoor Localization Method via Radial Basis Function Neural Network

Table 3

The positioning error of different cases (m).

Positioning error		LANDMARC	Method I	Method II
Case 1	Min	0.0959	0.0744	0.0533
	Max	1.3731	1.2406	0.8709
	Mean	0.5998	0.4494	0.3588
	Std.	0.4536	0.3037	0.1877
Case 2	Min	0.1373	0.0918	0.1008
	Max	2.7473	1.6833	1.8067
	Mean	1.3528	0.6826	0.7953
	Std.	0.8948	0.4380	0.6422
Case 3	Min	0.0385	0.1058	0.0334
	Max	1.6954	1.6210	0.9608
	Mean	0.7112	0.4631	0.3699
	Std.	0.6801	0.3021	0.1979
Case 4	Min	0.0892	0.0435	0.0320
	Max	1.6349	1.3577	0.8173
	Mean	0.6651	0.4331	0.3143
	Std.	0.4619	0.2749	0.1830
Case 5	Min	0.1402	0.0362	0.0913
	Max	2.7319	1.3285	1.1726
	Mean	1.3416	0.5165	0.4668
	Std.	0.8903	0.2619	0.2503