Name
Abstract | ||
|---|---|---|
Sonobuoy fields, comprising a network of transmitters and receivers, are commonly deployed to find and track underwater targets. For a given environment and sonobuoy field layout, the performance of such a field depends on the scheduling, that is, deciding which source should transmit, and which from a library of available waveforms should be transmitted at any given time. In this paper, we propose a novel scheduling framework based on multi-objective optimization. Specifically, we pose the two tasks of the sonobuoy field-tracking and searching-as separate, competing, objective functions. Using this framework, we propose a characterization of scheduling based on Pareto optimality. This characterization describes the trade-off between the search-track objectives and is demonstrated on realistic multistatic sonobuoy simulations. |
Year | Venue | Field |
|---|---|---|
2018 | ICASSP | Mathematical optimization,Radar tracker,Task analysis,Scheduling (computing),Computer science,Waveform,Real-time computing,Multi-objective optimization,Frequency modulation,Pareto principle,Underwater |
DocType | Citations | PageRank |
Conference | 0 | 0.34 |
References | Authors | |
0 | 8 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Christopher Gilliam | 1 | 26 | 5.97 |
| Branko Ristic | 2 | 4 | 1.45 |
| Daniel Angley | 3 | 1 | 1.04 |
| Sofia Suvorova | 4 | 2 | 1.07 |
| Bill Moran | 5 | 141 | 23.49 |
| Fiona Fletcher | 6 | 1 | 1.40 |
| H. Gaetjens | 7 | 0 | 0.34 |
| Sergey Simakov | 8 | 0 | 2.03 |