environment. In this paper, we propose an indoor localization technique based on improved
AdaBoost algorithm. The accuracy of AdaBoost depends on the weak hypothesis form all the
weak learning, if there is noise in the fingerprint map, the performance of AdaBoost will
decline. Because of the variability of indoor environment, the noise can not be avoided. So
the improved AdaBoost is proposed to ignore the individual unfocused points to develop the …