Extended Kalman Filter Channel Estimation for Line-of-Sight Detection in WCDMA Mobile Positioning
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 of the mobile position in two dimensions becomes straightforward. In this paper, the probl...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2003-12-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1155/S1110865703306018 |
| _version_ | 1831553028203741184 |
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| author | Abdelmonaem Lakhzouri Elena Simona Lohan Ridha Hamila Markku Renfors |
| author_facet | Abdelmonaem Lakhzouri Elena Simona Lohan Ridha Hamila Markku Renfors |
| author_sort | Abdelmonaem Lakhzouri |
| collection | DOAJ |
| description | 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 of the 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 whether LOS component is present or not. |
| first_indexed | 2024-12-17T03:37:42Z |
| format | Article |
| id | doaj.art-1bfd2d50cbc84eb7aee10e5ad0f9e0dc |
| institution | Directory Open Access Journal |
| issn | 1687-6172 1687-6180 |
| language | English |
| last_indexed | 2024-12-17T03:37:42Z |
| publishDate | 2003-12-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-1bfd2d50cbc84eb7aee10e5ad0f9e0dc2022-12-21T22:05:05ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802003-12-012003131268127810.1155/S1687617203306018Extended Kalman Filter Channel Estimation for Line-of-Sight Detection in WCDMA Mobile PositioningAbdelmonaem LakhzouriElena Simona LohanRidha HamilaMarkku RenforsIn 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 of the 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 whether LOS component is present or not.http://dx.doi.org/10.1155/S1110865703306018extended Kalman filterfading statisticsLOS detectionmobile positioningWCDMA systems. |
| spellingShingle | Abdelmonaem Lakhzouri Elena Simona Lohan Ridha Hamila Markku Renfors Extended Kalman Filter Channel Estimation for Line-of-Sight Detection in WCDMA Mobile Positioning EURASIP Journal on Advances in Signal Processing extended Kalman filter fading statistics LOS detection mobile positioning WCDMA systems. |
| title | Extended Kalman Filter Channel Estimation for Line-of-Sight Detection in WCDMA Mobile Positioning |
| title_full | Extended Kalman Filter Channel Estimation for Line-of-Sight Detection in WCDMA Mobile Positioning |
| title_fullStr | Extended Kalman Filter Channel Estimation for Line-of-Sight Detection in WCDMA Mobile Positioning |
| title_full_unstemmed | Extended Kalman Filter Channel Estimation for Line-of-Sight Detection in WCDMA Mobile Positioning |
| title_short | Extended Kalman Filter Channel Estimation for Line-of-Sight Detection in WCDMA Mobile Positioning |
| title_sort | extended kalman filter channel estimation for line of sight detection in wcdma mobile positioning |
| topic | extended Kalman filter fading statistics LOS detection mobile positioning WCDMA systems. |
| url | http://dx.doi.org/10.1155/S1110865703306018 |
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