Discrete Mobile Terminal Location Estimation Using Support Vector Machine
عنوان مقاله: Discrete Mobile Terminal Location Estimation Using Support Vector Machine
شناسه ملی مقاله: ICEE15_048
منتشر شده در پانزدهیمن کنفرانس مهندسی برق ایران در سال 1386
شناسه ملی مقاله: ICEE15_048
منتشر شده در پانزدهیمن کنفرانس مهندسی برق ایران در سال 1386
مشخصات نویسندگان مقاله:
Hady Ghafoor - Electrical Engineering Department, Ferdowsi Unittersity Mashhad. Iran, Communications and Compuler Research Center, Ferdowsi University Mashhad, Iran
Hossein zamiri-Jafarian - Electrical Engineering Department, Ferdowsi Unittersity Mashhad. Iran
Mir Mojtaba Mirsalehi - Electrical Engineering Department, Ferdowsi Unittersity Mashhad. Iran
خلاصه مقاله:
Hady Ghafoor - Electrical Engineering Department, Ferdowsi Unittersity Mashhad. Iran, Communications and Compuler Research Center, Ferdowsi University Mashhad, Iran
Hossein zamiri-Jafarian - Electrical Engineering Department, Ferdowsi Unittersity Mashhad. Iran
Mir Mojtaba Mirsalehi - Electrical Engineering Department, Ferdowsi Unittersity Mashhad. Iran
Mobile terminal location estimation has attrqcted much interest for ils applications in emergency calls, intelligent trffic control, intelligent transportation systems and resource allocation. In this pqper, a new implementation of data fusion technique for discrete mobile terminal location which is based on Support Vector Machine (SVM) is introduced. The rsw information, i.e., time of arrival TOA), angle of arrival (AOA) and received signal sftength (RSS) obtained fro* the survey points in a real dense urban environment, is post processed to create feature space.
The feature space, which contains the information on the locations of the mobile users, is classified by a previously trained SVM network. The simulation results demonstrate that the location estimation ewor is less than I00m in almost 72% of the calls.
کلمات کلیدی: Mobile location, Data fusion, Pattern recognition, SVM
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/25117/