TY - GEN
T1 - An improved indoor localization solution using a hybrid UWB-Doppler system with Kalman filter
AU - Wang, Jing
AU - Tang, Yao
AU - Munoz-Ferreras, Jose Maria
AU - Gomez-Garcia, Roberto
AU - Li, Changzhi
N1 - Funding Information:
The authors gratefully acknowledge grant support from National Science Foundation (NSF) ECCS-1254838.
Publisher Copyright:
© 2018 IEEE.
PY - 2018/2/28
Y1 - 2018/2/28
N2 - Ultra-wideband (UWB) positioning system has gained much attention in the field of indoor localization due to its various advantages. The narrow pulse nature of UWB signal results in a very large bandwidth which enables high resolution positioning, low loss penetration, and low cost. However, practically, the low transmit power severely restrains the transmission range of UWB signal so that it is only suitable for short-range accurate ranging. Therefore, a novel hybrid UWB-Doppler system was proposed by using a fixed UWB positioning system monitored region to calibrate the accumulated error of a Doppler-gyroscope trajectory-tracking system. In this paper, we present improved indoor localization performance using the hybrid UWB-Doppler system employing the Kalman Filter. Experiments were conducted in a large complex indoor environment to further demonstrate the feasibility of the proposed indoor localization method.
AB - Ultra-wideband (UWB) positioning system has gained much attention in the field of indoor localization due to its various advantages. The narrow pulse nature of UWB signal results in a very large bandwidth which enables high resolution positioning, low loss penetration, and low cost. However, practically, the low transmit power severely restrains the transmission range of UWB signal so that it is only suitable for short-range accurate ranging. Therefore, a novel hybrid UWB-Doppler system was proposed by using a fixed UWB positioning system monitored region to calibrate the accumulated error of a Doppler-gyroscope trajectory-tracking system. In this paper, we present improved indoor localization performance using the hybrid UWB-Doppler system employing the Kalman Filter. Experiments were conducted in a large complex indoor environment to further demonstrate the feasibility of the proposed indoor localization method.
KW - Doppler
KW - Indoor
KW - Kalman Filter
KW - Localization
KW - Radar
KW - Ultra-wideband (UWB)
UR - http://www.scopus.com/inward/record.url?scp=85045546745&partnerID=8YFLogxK
U2 - 10.1109/RWS.2018.8304980
DO - 10.1109/RWS.2018.8304980
M3 - Conference contribution
AN - SCOPUS:85045546745
T3 - IEEE Radio and Wireless Symposium, RWS
SP - 181
EP - 183
BT - RWS 2018 - Proceedings
PB - IEEE Computer Society
Y2 - 14 January 2018 through 17 January 2018
ER -