An Improved K Nearest Neighbor Indoor Localization Method Based on Spearman Distance
Indoor localization based on existing Wi Fi Received Signal Strength Indicator (RSSI) is attractive since it can reuse the existing Wi Fi infrastructure. However, it suffers from dramatic performance degradation due to multipath signal attenuation and environmental changes. To improve the localization accuracy under the above mentioned circumstances, an improved Spearman distance based K Nearest Neighbor (KNN) scheme is proposed. Simulation results demonstrate that our improved method outperforms the original KNN method under the indoor environment with severe multipath fading and temporal dynamics.
IEEE Signal Processing Letters