IEEE Vehicular Technology Conference 2006
DOI: 10.1109/vtcf.2006.583
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Mobile Terminal Positioning via Power Delay Profile Fingerprinting: Reproducible Validation Simulations

Abstract: Non-Line-of-Sight and multipath propagation conditions pose significant problems for most mobile terminal positioning approaches. In contrast, power delay profile fingerprinting (PDP-F) thrives on multipath propagation. This multipath extension of T(D)oA is based on matching an estimated power delay profile from one or several base stations (BSs) (or other transmitters (broadcast, ...)) with a memorized power delay profile map for a given cell. With a single BS, an absolute time reference is required as for To… Show more

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Cited by 36 publications
(22 citation statements)
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“…It follows directly from (45) that the weights of the Gaussian components are updated by (4) initialize the new transmitter(s) based on z ; (5) if track of any signal components lost then (6) delete the corresponding transmitter(s); (7) for = 1, . .…”
Section: Derivation Of the Particle Weight Calculationmentioning
confidence: 99%
See 1 more Smart Citation
“…It follows directly from (45) that the weights of the Gaussian components are updated by (4) initialize the new transmitter(s) based on z ; (5) if track of any signal components lost then (6) delete the corresponding transmitter(s); (7) for = 1, . .…”
Section: Derivation Of the Particle Weight Calculationmentioning
confidence: 99%
“…Instead of regarding multipath propagation as ill, the spatial information of MPCs on the receiver position is exploited. In [4], the information of MPCs is used in a fingerprinting scheme. Going one step further, each MPC can be regarded as being transmitted by a virtual transmitter in a pure LoS condition, and the virtual transmitters can be used to locate the user.…”
Section: Introductionmentioning
confidence: 99%
“…The authors of [21,22] exploit multipath propagation for positioning of mobile terminals using multipath fingerprinting algorithms. Other algorithms, for example, [23,24], interpret reflected signals as signals emitted from virtual transmitters (VTs), where the VT positions are precalculated based on the knowledge of the reflecting surface and physical transmitter positions.…”
Section: Introductionmentioning
confidence: 99%
“…where Q ( ) is defined in (21). Under the condition of a known control inputΨ( ), see [51], and using the linear transition model of Section 3.2.1 and Gaussian distributed transition noise of (36), we obtain for (34)…”
mentioning
confidence: 99%
“…Two well-known positioning techniques may be used to locate the receiver: (i) Fingerprinting (FIP) based positioning makes use of pre-collected CSI of the wireless channel saved in a database to find the best match to online measured values using a data recognition algorithm [2,3]. (ii) Time Based (TB) positioning utilises the ranging information between transmitter and receiver to determine the target's location, where the range estimate is usually biased when the Line-of-Sight (LoS) signal is absent [4].…”
Section: Introductionmentioning
confidence: 99%