سال انتشار: ۱۳۹۲
محل انتشار: هفتمین کنفرانس بین المللی تجارت الکترونیک در کشورهای در حال توسعه با رویکرد بر امنیت
تعداد صفحات: ۱۶
نویسنده(ها):
Mohammad Hossein Refan – Shahid Rajaee Teacher Training University, Iran, Tehran
Adel Dameshghi –
Mehrnoosh kamarzarrin –

چکیده:

One of the most important factors affecting the precision of the performance of a GPS receiver is the relative positioning of satellites to each other. The Geometric Dilution ofPrecision (GDOP) is a measure of the overall uncertainty in a Global Position System (GPS) position solution, the lower the values of the GDOP number, the better the geometric strength, and vice versa. This study employs the hybrid technique of Mixture ofExperts (ME) and Particle Swarm Optimization (PSO) for the regression and classificationof GPS GDOP. The simulation results demonstrate that MEPSO algorithm has great accuracy, so that it can improve classification accuracy of GPS satellites about 98.25%.