TY - GEN
T1 - CDMA multiuser radiolocation
AU - Ali, Zahid
AU - Deriche, Mohamad A.
AU - Landolsi, Mohamed Adnan
PY - 2010
Y1 - 2010
N2 - Wireless location refers to obtaining the position information of a mobile subscriber in a cellular environment. Such positioning information is usually provided in terms of geographic coordinates of the mobile subscriber with respect to a geographic reference point.Wireless location finding has emerged as an essential feature of cellular systems and has many potential applications in areas such as location sensitive billing, asset tracking, fraud protection, mobile yellow pages, fleet management and the list continues to grow and so does the location based services market. Several location techniques utilizing terrestrial wireless network elements and radio signals have been proposed over the years. However, accurate mobile station (MS) positioning in a terrestrial wireless system is impeded by multipath propagation, low signal-to-noise ratios (SNRs), multiple access interference (MAI), and non-line-of-sight propagation. While subscriber location has been previously studied for code division multiple access (CDMA) networks, the effect of multiple access interference has not been fully explored especially for the case of closely spaced multipaths. Traditional location algorithms have derived location estimates usually assuming single user single path environment. However this assumption is not correct as measurement bias will be introduced due to MAI. We propose non linear filtering approach based on unscented Kalman filter (UKF) for MS delay estimation that is subsequently used for multiuser radiolocation. We show through simulations that the proposed method provides MS position location quite accurately in the presence of MAI for closely spaced paths.
AB - Wireless location refers to obtaining the position information of a mobile subscriber in a cellular environment. Such positioning information is usually provided in terms of geographic coordinates of the mobile subscriber with respect to a geographic reference point.Wireless location finding has emerged as an essential feature of cellular systems and has many potential applications in areas such as location sensitive billing, asset tracking, fraud protection, mobile yellow pages, fleet management and the list continues to grow and so does the location based services market. Several location techniques utilizing terrestrial wireless network elements and radio signals have been proposed over the years. However, accurate mobile station (MS) positioning in a terrestrial wireless system is impeded by multipath propagation, low signal-to-noise ratios (SNRs), multiple access interference (MAI), and non-line-of-sight propagation. While subscriber location has been previously studied for code division multiple access (CDMA) networks, the effect of multiple access interference has not been fully explored especially for the case of closely spaced multipaths. Traditional location algorithms have derived location estimates usually assuming single user single path environment. However this assumption is not correct as measurement bias will be introduced due to MAI. We propose non linear filtering approach based on unscented Kalman filter (UKF) for MS delay estimation that is subsequently used for multiuser radiolocation. We show through simulations that the proposed method provides MS position location quite accurately in the presence of MAI for closely spaced paths.
KW - Approximate likelihood
KW - CDMA channel estimation
KW - Closely spaced multipaths
KW - Multiple access interference
KW - Non-linear filters
KW - Radiolocation
UR - https://www.scopus.com/pages/publications/78751498765
U2 - 10.1109/PIMRCW.2010.5670369
DO - 10.1109/PIMRCW.2010.5670369
M3 - Conference contribution
AN - SCOPUS:78751498765
SN - 9781424491162
T3 - IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
SP - 233
EP - 237
BT - 2010 IEEE 21st International Symposium on Personal, Indoor and Mobile Radio Communications Workshops, PIMRC 2010
ER -