Title :
Location estimation improvement by signal adaptive RSSI filtering
Author :
Kaya, Sertac Bugra ; Alkar, Ali Ziya
Author_Institution :
Elektr. ve Elektron. Muhendisligi Bolumu, Hacettepe Univ., Ankara, Turkey
Abstract :
Location estimating in indoor environments is an important research topic. RSSI can be expressed as a function of distance. RSSI based location estimating techniques are widely popular since no additional hardware is required. However, RSSI measurements collected in indoor environments are too noisy due to reflecting and scattering signals, and packet loss. Methods utilizing noisy signals, the RSSI measurements have large positioning errors that are unacceptable for indoor environments. In this paper, location estimation is aimed to be improved by adaptively filtering the RSSI measurements collected at indoor environment with Zigbee modules.
Keywords :
Zigbee; adaptive filters; indoor radio; Zigbee; location estimation; noisy signals; packet loss; reflecting signals; scattering signals; signal adaptive RSSI filtering; Conferences; Estimation; Filtering; Indoor environments; Noise measurement; Signal processing; Zigbee; RSSI filtering; Zigbee modules; indoor localization; range estimation;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
DOI :
10.1109/SIU.2014.6830446
