RTDGPS Implementation by Online Prediction of GPS Position Components Error Using GA-ANN Model
سال انتشار: 1392
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 914
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شناسه ملی سند علمی:
JR_JECEI-1-1_006
تاریخ نمایه سازی: 27 فروردین 1393
چکیده مقاله:
If both Reference Station (RS) and navigational device in Differential Global Positioning System (DGPS) receive signals from the same satellite,RS Position Components Error (RPCE) can be used to compensate fornavigational device error. This research used hybrid method for RPCE prediction which was collected by a low-cost GPS receiver. It is a combination of Genetic Algorithm (GA) computing and Artificial Neural Network (ANN). GA was used for weight optimization and RS and Mobile Station (MS) were implemented by the software. The experimental results demonstrated which GA-ANN had great approximation ability and suitability in prediction; GA-ANNs prediction' RMS errors were less than 0.12 m. The simulation results with real data showed that position components' RMS errors in MS were less than 0.51 m after RPCE prediction.
کلیدواژه ها:
DGPS ANN RPCE Prediction GA
نویسندگان
M.H Refan
GPS Research Lab., Faculty of ECE, Shahid Rajaee Teacher Training University, Tehran, Iran
A Dameshghi
Electrical and Computer Engineering Faculty, Shahid Rajaee Teacher Training University, Tehran, Iran