GSM Mobile Positioning for Rescue and Law Enforcement | ||
| Journal of the ACS Advances in Computer Science | ||
| Article 2, Volume 11, Issue 1, 2020, Pages 1-29 PDF (827.71 K) | ||
| Document Type: Original Article | ||
| DOI: 10.21608/asc.2020.176266 | ||
| Authors | ||
| Abdellatief Abouali; Gamal Othman; Tamer Elnady; Ahmed Yehia; Ahmed Ali | ||
| Abstract | ||
| This study, proposes algorithms and methodologies for GSM mobile positioning using power reports sent through the network. The intent application for these algorithms and methodologies are rescue and law enforcement. Power reports used by network protocol to enable the communication process however they suffer a high noise factors that include fading, multi-paths, nature of the propagation area and media, and existence of line of site between the antennas. The methodologies proposed offer two stages of noise reduction or filtering. First stage applies to the power reports and the second applies to the candidate location points of the target. The filters included in the study are: mean, mid, clustering, regression, voting, and mean k out of m. The methodologies include a proposed method for estimating cells effective radiated power using simple GSM modem equipped with GPS receiver. The online cells database is used to get cells ID and initial position. The basic steps of the positioning based on power reports are: using the power reports to estimate to cells distances, form a table of possible positions, and filter the possible positions to get the likely position. The results of the study show competitive results in areas of different natures | ||
| Keywords | ||
| GSM Network; Signal Processing, propagation models; filters; Positioning; Cell | ||
|
Statistics Article View: 240 PDF Download: 223 |
||
