Name
Abstract | ||
|---|---|---|
A Radio Interferometric Positioning System (RIPS) is able to measure the sum of distance differences between four sensor nodes. If the locations of the three out of four sensor nodes are known, that of the fourth node may be determined using RIPS measurements via the techniques of hyperbolic positioning. One of the key issues with RIPS is the measurement ambiguity because of the wrapping of distance by phase measurements. Solutions to this RIPS measurement ambiguity problem often require extensive computational power which is vital to some wireless network of small sensors. In this paper, we describe an efficient stochastic method to practically resolve RIPS measurement ambiguity under the criterion of Maximum likelihood estimation. Our simulation results demonstrate the effectiveness of the proposed algorithm. |
Year | DOI | Venue |
|---|---|---|
2011 | null | Fusion |
Keywords | Field | DocType |
wireless sensor,radio interferometric positioning system,stochastic processes,distance wrapping,stochastic method,phase ambiguity removal,interferometry,maximum likelihood estimation,mote localization,wireless network,rips measurement ambiguity,hyperbolic positioning,radio interferometric positioning system measurement ambiguity,wireless sensor networks,sensor node,position control,phase measurement,noise,noise measurement,maximum likelihood estimate | Wireless network,Telecommunications,Noise measurement,Computer science,Artificial intelligence,Ambiguity,Positioning system,Sensor node,Computer vision,Algorithm,Stochastic process,Interferometry,Wireless sensor network | Conference |
Volume | Issue | ISBN |
null | null | 978-1-4577-0267-9 |
Citations | PageRank | References |
3 | 0.46 | 6 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wenchao Li | 1 | 23 | 2.77 |
| Xuezhi Wang | 2 | 94 | 10.88 |
| B. Moran | 3 | 111 | 21.09 |