Name
Abstract | ||
|---|---|---|
The location of adversarial signals is of great importance to the military. Whether the enemy is jamming friendly communications or transmitting for other reasons, finding out where those signals are coming from may be the first goal of any response mission. If highly accurate direction-finding information is available, triangulation of the source can be trivial. The purpose of this paper is to analyze the possibilities for geolocation using substantially less accurate sources. We proceed using simulated receivers with high standard deviations relative to the possible values, and use simulations to demonstrate that geolocation is possible using a small number of such receivers. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/ICDCS.2018.00151 | 2018 IEEE 38TH INTERNATIONAL CONFERENCE ON DISTRIBUTED COMPUTING SYSTEMS (ICDCS) |
Keywords | Field | DocType |
crowdsourcing, localization, jamming | Small number,Read-only memory,Computer science,Geolocation,Real-time computing,Triangulation (social science),Adversary,Standard deviation,Jamming,Distributed computing | Conference |
ISSN | Citations | PageRank |
1063-6927 | 0 | 0.34 |
References | Authors | |
0 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Brian Rapp | 1 | 2 | 2.08 |
| Barry Secrest | 2 | 0 | 0.34 |