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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Groh, I. Sand, S. Mensing, C. |
| Copyright Year | 2008 |
| Description | Author affiliation: German Aerosp. Center (DLR), Inst. for Commun. & Navig., Wessling (Groh, I.; Sand, S.; Mensing, C.) |
| Abstract | The positioning performance of global navigation satellite systems (GNSSs) mass market receivers severely degrades when the received satellite signals are subject to multipath propagation. Therefore, the estimation of several unknown channel amplitudes and taps in a multipath environment is an important approach to mitigate the multipath effects. In professional receivers, viable multipath mitigation approaches are the maximum likelihood (ML) estimator, the expectation maximization (EM) approach and the space alternating generalized expectation maximization (SAGE) algorithm. However, all methods require a high computational complexity when used in spread spectrum systems due to long spreading sequences. Therefore, one contribution of this paper is that we apply subspace methods to decrease the computational complexity before executing the above iterative estimation algorithms. Further, we assess respective performance of the algorithms and the future Galileo navigation system by using the Galileo receiver analysis and design application (GRANADA) simulator. The complexity reduction algorithms are specifically adjusted to the El Galileo binary offset carrier (BOC) signal, which superimposes data and pilot signals. Moreover, we adapt the complexity reduction so that it can handle any sampling frequency that is not necessarily an integer multiple of the chip rate. |
| Starting Page | 418 |
| Ending Page | 423 |
| File Size | 185697 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781424415366 |
| DOI | 10.1109/PLANS.2008.4570098 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-05-05 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Satellite navigation systems Iterative algorithms Maximum likelihood estimation Computational complexity Algorithm design and analysis Global Positioning System Degradation Amplitude estimation Spread spectrum communication Iterative methods complexity reduction spread spectrum system synchronization maximum likelihood channel estimation EM and SAGE algorithm GRANADA simulator |
| Content Type | Text |
| Resource Type | Article |
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