The atmosphere in low latitude regions is of particular interest to GPS researchers because the propagation of GPS signals becomes significantly delayed compared with other regions of the world. Hence this limits GPS positioning accuracy in equatorial regions. Although the atmospheric delay can be modelled, a residual component will still remain. Reducing, or mitigating the effect of residual atmospheric delay is of great interest, and remains a challenge, especially in equatorial regions. Analysis of relative positioning accuracy of GPS baselines has confirmed that the residual atmospheric delay is distance-dependent, even in low latitude areas. Residual ionospheric delay is the largest component in terms of both absolute magnitude and variability. However it can be largely eliminated by forming the ionosphere-free combination of measurements made on two frequencies. The residual tropospheric delay is smaller in magnitude but rather problematic due to strong spatio-temporal variations of its wet component. Introducing additional troposphere ???scale factors??? in the least squares estimation of relative position can reduce the effect of the residual. In a local GPS network, the distance-dependent errors can be spatially modelled by network-based positioning. The network-based technique generates a network ???correction??? for user positioning. The strategy is to partition this network correction into dispersive and non-dispersive components. The latter can be smoothed in order to enhance the ionosphere-free combination, and can be of benefit to ambiguity resolution. After this step, both the dispersive and non-dispersive correction components can be used in the final positioning step. Additional investigations are conducted for stochastic modelling of network-based positioning. Based on the least squares residuals, the variance-covariance estimation technique can be adapted to static network-based positioning. Moreover, a two-step procedure can be employed to deal with the temporal correlation in the measurements. Test results on GPS networks in low latitude and mid-latitude areas have demonstrated that the proposed network-based positioning strategy works reasonably well in resolving the ambiguities, assisting the ambiguity validation process and in computing the user???s position. Furthermore, test results of stochastic modelling in various GPS networks suggests that there are improvements in validating the ambiguity resolution results and handling the temporal correlation, although the positioning result do not differ compared to using the simple stochastic model typically used in standard baseline processing.

The atmosphere in low latitude regions is of particular interest to GPS researchers because the propagation of GPS signals becomes significantly delayed compared with other regions of the world. Hence this limits GPS positioning accuracy in equatorial regions. Although the atmospheric delay can be modelled, a residual component will still remain. Reducing, or mitigating the effect of residual atmospheric delay is of great interest, and remains a challenge, especially in equatorial regions. Analysis of relative positioning accuracy of GPS baselines has confirmed that the residual atmospheric delay is distance-dependent, even in low latitude areas. Residual ionospheric delay is the largest component in terms of both absolute magnitude and variability. However it can be largely eliminated by forming the ionosphere-free combination of measurements made on two frequencies. The residual tropospheric delay is smaller in magnitude but rather problematic due to strong spatio-temporal variations of its wet component. Introducing additional troposphere ???scale factors??? in the least squares estimation of relative position can reduce the effect of the residual. In a local GPS network, the distance-dependent errors can be spatially modelled by network-based positioning. The network-based technique generates a network ???correction??? for user positioning. The strategy is to partition this network correction into dispersive and non-dispersive components. The latter can be smoothed in order to enhance the ionosphere-free combination, and can be of benefit to ambiguity resolution. After this step, both the dispersive and non-dispersive correction components can be used in the final positioning step. Additional investigations are conducted for stochastic modelling of network-based positioning. Based on the least squares residuals, the variance-covariance estimation technique can be adapted to static network-based positioning. Moreover, a two-step procedure can be employed to deal with the temporal correlation in the measurements. Test results on GPS networks in low latitude and mid-latitude areas have demonstrated that the proposed network-based positioning strategy works reasonably well in resolving the ambiguities, assisting the ambiguity validation process and in computing the user???s position. Furthermore, test results of stochastic modelling in various GPS networks suggests that there are improvements in validating the ambiguity resolution results and handling the temporal correlation, although the positioning result do not differ compared to using the simple stochastic model typically used in standard baseline processing.

Dissertation (Ph.D.)--Auburn University, 2009. / Abstract. Vita. Includes bibliographic references (p.294-302).

Thesis (M.S.)--Oregon State University, 2009. / Printout. Includes bibliographical references (leaves 47-51). Also available on the World Wide Web.

Thesis (M. S. in Electrical Engineering)--Vanderbilt University, Aug. 2004. / Title from title screen. Includes bibliographical references.

International Telemetering Conference Proceedings / October 18-21, 2004 / Town & Country Resort, San Diego, California / The embedded system related hardware technology has experienced rapid development, and it provided the software technology with a huge space for growth. Therefore using software approaches to perform GPS receiver functions in a powerful and generic hardware platform is becoming more feasible. In this paper, the software GPS receiver technology and the design basics of the software receiver are discussed. Further in the Matlab simulation environment, the implementation of a software receiver for replacing the processing functions of ASIC in traditional GPS receivers, i.e. RF front end and multi-channel correlator, is presented. Some simulation results and implementation details are included.

Since its introduction in the early 1980??s, the Global Positioning System (GPS) has become an important worldwide resource. Although the primary use of GPS is for position location, the inherent timing accuracy built into the system has allowed it become an important synchronisation resource for other systems. In most cases the GPS end user only requires a position estimate without awareness of the timing and synchronisation aspects of the system. A low accuracy position (at the several-metre level) with a low update rate of about 1Hz is often acceptable. However, obtaining more accurate position estimates (at the sub-metre level) at higher update rates requires the use of differential correction signals (DGPS) and greater processing power in the receiver. Furthermore, some extra challenges arise when simultaneously gathering information from a group of independently moving remote GPS receivers (rovers) at increased sampling rates (10Hz). This creates the need for a high bandwidth telemetry system and techniques to synchronise the position measurements for tracking each rover. This thesis investigates and develops an overall solution to these problems using GPS for both position location and synchronisation. A system is designed to generate relative position information from 30 or more rovers in real-time. The important contributions of this research are as follows: a) A GPS synchronised telemetry system is developed to transport GPS data from each rover. Proof of concept experiments show why a conventional RF Local Area Network (LAN) is not suitable for this application. The new telemetry system is developed using Field Programmable Gate Array (FPGA) devices to embed both the synchronising logic and the central processor. b) A new system architecture is developed to reduce the processing load of the GPS receiver. Furthermore, the need to transfer the DGPS correction data to the rover is eliminated. Instead, the receiver raw data is processed in a centralised Kalman filter to produce multiple position estimates in real-time. c) Steps are taken to optimise the telemetry data stream by using only the bare essential data from each rover. A custom protocol is developed to deliver the GPS receiver raw data to the central point with minimal latency. The central software is designed to extract and manage common elements such as satellite ephemeris data from the central reference receiver only. d) Methods are developed to make the overall system more robust by identifying and understanding the points of failure, providing fallback options to allow recovery with minimal impact. Based on the above a system is designed and integrated using a mixture of custom hardware, custom software and off-the-shelf hardware. Overall tests show that efforts to minimise latency, minimise power requirements and improve reliability have delivered good results.

Thesis (Ph. D.)--Ohio State University, 2007. / Title from first page of PDF file. Includes bibliographical references (p. 197-204).

Since its introduction in the early 1980??s, the Global Positioning System (GPS) has become an important worldwide resource. Although the primary use of GPS is for position location, the inherent timing accuracy built into the system has allowed it become an important synchronisation resource for other systems. In most cases the GPS end user only requires a position estimate without awareness of the timing and synchronisation aspects of the system. A low accuracy position (at the several-metre level) with a low update rate of about 1Hz is often acceptable. However, obtaining more accurate position estimates (at the sub-metre level) at higher update rates requires the use of differential correction signals (DGPS) and greater processing power in the receiver. Furthermore, some extra challenges arise when simultaneously gathering information from a group of independently moving remote GPS receivers (rovers) at increased sampling rates (10Hz). This creates the need for a high bandwidth telemetry system and techniques to synchronise the position measurements for tracking each rover. This thesis investigates and develops an overall solution to these problems using GPS for both position location and synchronisation. A system is designed to generate relative position information from 30 or more rovers in real-time. The important contributions of this research are as follows: a) A GPS synchronised telemetry system is developed to transport GPS data from each rover. Proof of concept experiments show why a conventional RF Local Area Network (LAN) is not suitable for this application. The new telemetry system is developed using Field Programmable Gate Array (FPGA) devices to embed both the synchronising logic and the central processor. b) A new system architecture is developed to reduce the processing load of the GPS receiver. Furthermore, the need to transfer the DGPS correction data to the rover is eliminated. Instead, the receiver raw data is processed in a centralised Kalman filter to produce multiple position estimates in real-time. c) Steps are taken to optimise the telemetry data stream by using only the bare essential data from each rover. A custom protocol is developed to deliver the GPS receiver raw data to the central point with minimal latency. The central software is designed to extract and manage common elements such as satellite ephemeris data from the central reference receiver only. d) Methods are developed to make the overall system more robust by identifying and understanding the points of failure, providing fallback options to allow recovery with minimal impact. Based on the above a system is designed and integrated using a mixture of custom hardware, custom software and off-the-shelf hardware. Overall tests show that efforts to minimise latency, minimise power requirements and improve reliability have delivered good results.

Thesis (M.S.)--Ohio State University, 2008. / Title from first page of PDF file. Includes bibliographical references.