Name
Abstract | ||
|---|---|---|
We focus on the problem of passive localization of radio-sources, solved by means of several separated multi-arrays (base stations) linked with a central process unit. Traditionally, the procedure relies on two distinct steps: intermediate parameters are first estimated (like angles-of-arrival or times-of-arrival), then the position is deduced thanks to these transmitted intermediate parameters. New strategies estimating the position directly by considering the whole base station network as a unique sensor network appeared recently and offered promising results. To the best of our knowledge, the characterization of their performances has not yet been established in a deterministic signal context. In this article the model is developed and the corresponding Cramer-Rao bound is expressed. This bound represents a useful tool to quantify what new one step approaches can offer in terms of optimal performances. Numerical study compare here the proposed bound to the performances of traditional 2 steps and recent one step approaches. We show that for one source existing techniques performs well and equivalently, but the two sources case underline the gap between 2 steps and 1 step approaches. Moreover, we underline the role played by the time-bandwidth product. |
Year | Venue | Keywords |
|---|---|---|
2011 | Barcelona | radio networks,time-of-arrival estimation,cramer-rao bound,angles-of-arrival,base station network,central process unit,deterministic signal context,multiarray network,passive localization,radio sources,separated multiarrays,time bandwidth product,times-of-arrival,transmitted intermediate parameters,unique sensor network,monte carlo methods,vectors,iron,base stations |
Field | DocType | ISSN |
Base station,Monte Carlo method,Underline,Narrowband,Simulation,Computer science,Algorithm,Wireless sensor network | Conference | 2076-1465 |
Citations | PageRank | References |
2 | 0.38 | 3 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jonathan Bosse | 1 | 17 | 5.77 |
| Anne FerréOl | 2 | 49 | 11.32 |
| Pascal Larzabal | 3 | 535 | 64.76 |