Name
Abstract | ||
|---|---|---|
The Problem of non-cooperative narrowband sources location is often solved by estimating many parameters, among them one can cite the angle of arrival (AOA), the time of arrival (TOA) or the frequency of arrival (FOA). To the best of our knowledge most of the techniques are using separately estimated location parameters on several stations. Since they do not take into account that the observed signals on the stations comes from the same emitters, they are suboptimal. They lead to ambiguïties especially in multi-emitter context. Based on the narrowband assumption on the whole sensor network, composed of the multiple base stations, the proposed method relies on a centralised processing by means of a stacked observation vector. As we simultaneously treat all the signals collected in several stations, the corresponding criterion treats all stations together and does not exhibit ambiguities in presence of multiple emitters. For the sake of simplicity, we will consider in this paper only two stations. After having described the implementation of our algorithm, simulations and Cramér-Rao Bounds illustrate the improvement of our method compared to a classical AOA estimation based algorithm performed on each station independently. |
Year | Venue | Keywords |
|---|---|---|
2010 | Aalborg | direction-of-arrival estimation,time-of-arrival estimation,aoa estimation based algorithm,aoa estimations,cramér-rao bounds,foa,toa,angle of arrival estimations,frequency of arrival estimation,multiple base stations,multiple narrowband emitter geolocation algorithm,parameter estimation,sensor network,stacked observation vector,time of arrival estimation,base stations,geology |
Field | DocType | ISSN |
Base station,Frequency of arrival,Narrowband,Geolocation,Algorithm,Angle of arrival,Wireless sensor network,Signal processing algorithms,Time of arrival | Conference | 2219-5491 |
Citations | PageRank | References |
2 | 0.50 | 2 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jonathan Bosse | 1 | 17 | 5.77 |
| Anne FerréOl | 2 | 49 | 11.32 |
| Pascal Larzabal | 3 | 535 | 64.76 |