Localization in wireless networks based on jointly compressed sensing

Location sensing is fundamental for supporting wireless communications services. This paper exploits the signal correlation structure observed in an indoor localization environment in order to provide accurate position estimation by means of a limited amount of signal-strength measurements. Because the mobile devices have limited processing power and battery capacity, the proposed received signal-strength localization protocol avoids putting on extra computational overhead on the mobile device by performing the position estimation at the Access Points (APs). Since the APs observe correlated signals from the mobile devices, the introduced method exploits the common structure of the received measurements in order to jointly estimate the positions precisely. The evaluation of the proposed protocol is performed on real laboratory data through experiments that quantify the impact of the system parameters on the location error.