TAILIEUCHUNG - EURASIP Journal on Applied Signal Processing 2003:13, 1268–1278 c 2003 Hindawi Publishing

EURASIP Journal on Applied Signal Processing 2003:13, 1268–1278 c 2003 Hindawi Publishing Corporation Extended Kalman Filter Channel Estimation for Line-of-Sight Detection in WCDMA Mobile Positioning Abdelmonaem Lakhzouri Institute of Communications Engineering, Tampere University of Technology, . Box 553, 33101 Tampere, Finland Email: Elena Simona Lohan Institute of Communications Engineering, Tampere University of Technology, . Box 553, 33101 Tampere, Finland Email: Ridha Hamila Etisalat College of Engineering, Emirates Telecommunications Corporation, . Box 980, Sharjah, UAE Email: hamila@ Markku Renfors Institute of Communications Engineering, Tampere University of Technology, . Box 553, 33101 Tampere, Finland Email: Received 21 October 2002 and in revised form 29 May 2003 In mobile. | EURASIP Journal onApplied Signal Processing 2003 13 1268-1278 2003 Hindawi Publishing Corporation Extended Kalman Filter Channel Estimation for Line-of-Sight Detection in WCDMA Mobile Positioning Abdelmonaem Lakhzouri Institute of Communications Engineering Tampere University of Technology . Box 553 33101 Tampere Finland Email Elena Simona Lohan Institute of Communications Engineering Tampere University of Technology . Box 553 33101 Tampere Finland Email Ridha Hamila Etisalat College of Engineering Emirates Telecommunications Corporation . Box 980 Sharjah UAE Email hamila@ Markku Renfors Institute of Communications Engineering Tampere University of Technology . Box 553 33101 Tampere Finland Email Received 21 October 2002 and in revised form 29 May 2003 In mobile positioning it is very important to estimate correctly the delay between the transmitter and the receiver. When the receiver is in line-of-sight LOS condition with the transmitter the computation ofthe mobile position in two dimensions becomes straightforward. In this paper the problem of LOS detection in WCDMA for mobile positioning is considered together with joint estimation of the delays and channel coefficients. These are very challenging topics in multipath fading channels because LOS component is not always present and when it is present it might be severely affected by interfering paths spaced at less than one chip distance closely spaced paths . The extended Kalman filter EKF is used to estimate jointly the delays and complex channel coefficients. The decision whether the LOS component is present or not is based on statistical tests to determine the distribution of the channel coefficient corresponding to the first path. The statistical test-based techniques are practical simple and of low computation complexity which is suitable for WCDMA receivers. These techniques can provide an accurate decision .

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