Global Positioning System (GPS) is the emerging technology extending its applications in the field of surveying, navigation, military etc., and these applications demands multiple levels of accuracy ranging from tens of meters to sub-millimetre level. Hence there is a need to develop systems, methods and a technique to meet the demand of high accuracy.
GPS provides its services in two different standards, Standard Positioning Services (SPS) and Precise Positioning Services (PPS).The accuracy of these services is influenced by various measurement biases and random errors. Many of the biases and errors can be minimized by proper modelling of the biases, GPS technique employed and position estimate solution. This paper focuses in improving the accuracy of SPS GPS receiver by correcting relativistic and satellite clock errors in the C/A (Coarse/Acquisition) measurements. It also proposes an accurate position estimate method among Least Squares Estimator (LSE) and Linear Quadratic Estimator (LQE).The performance of these estimators are analysed with Position Accuracy Measures (PAM) and Statistical Error Measures (SAM). The practical data used for processing and analysis is collected on L1 (1575.42MHz) frequency over a period of 24 hrs from the SPS DualFrequency GPS (DFGPS) receivers located at IISC, Bangalore (Lat/Lon: 13.01 o N / 77.56 o E) and Andhra University (AU), Visakhapatnam (Lat/Lon: 17.72 o N / 83.32 o E).
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.