This thesis aims the problem of underwater vehicle positioning. The vehicle usedwas a Saab Seaeye Falcon which was equipped with a Doppler Velocity Log(DVL)manufactured by RD Instruments and an inertial measurement unit (IMU) fromXsense. During the work several different Extended Kalman Filter (EKF) havebeen tested both with a hydrodynamic model of the vehicle and a model withconstant acceleration and constant angular velocity. The filters were tested withdata from test runs in lake Vättern. The EKF with constant acceleration andconstant angular velocity appeared to be the better one. The misalignment of thesensors were also tried to be estimated but with poor result.

Not available / text

As the number of spacecraft in simultaneous operation continues to grow, there is an increased dependency on ground-based navigation support. The current baseline system for deep space navigation utilizes Earth-based radiometric tracking, which requires long duration, often global, observations to perform orbit determination and generate a state update. The age, complexity, and high utilization of the assets that make up the Deep Space Network (DSN) pose a risk to spacecraft navigation performance. With increasingly complex mission operations, such as automated asteroid rendezvous or pinpoint planetary landing, the need for high accuracy and autonomous navigation capability is further reinforced. The Network-Based Navigation (NNAV) method developed in this research takes advantage of the growing inter-spacecraft communication network infrastructure to allow for autonomous state measurement. By embedding navigation headers into the data packets transmitted between nodes in the communication network, it is possible to provide an additional source of navigation capability. Simulation results indicate that as NNAV is implemented across the deep space network, the state estimation capability continues to improve, providing an embedded navigation network. To analyze the capabilities of NNAV, an analysis and simulation framework is designed that integrates navigation and communication analysis. Model-Based Systems Engineering (MBSE) and Agent-Based Modeling (ABM) techniques are utilized to foster a modular, expandable, and robust framework. This research has developed the Space Navigation Analysis and Performance Evaluation (SNAPE) framework. This framework allows for design, analysis, and optimization of deep space navigation and communication architectures. SNAPE captures high-level performance requirements and bridges them to specific functional requirements of the analytical implementation. The SNAPE framework is implemented in a representative prototype environment using the Python language and verified using industry standard packages. The capability of SNAPE is validated through a series of example test cases. These analyses focus on the performance of specific state measurements to state estimation performance, and demonstrate the core analytic functionality of the framework. Specific cases analyze the effects of initial error and measurement uncertainty on state estimation performance. The timing and frequency of state measurements are also investigated to show the need for frequent state measurements to minimize navigation errors. The dependence of navigation accuracy on timing stability and accuracy is also demonstrated. These test cases capture the functionality of the tool as well as validate its performance. The SNAPE framework is utilized to capture and analyze NNAV, both conceptually and analytically. Multiple evaluation cases are presented that focus on the Mars Science Laboratory's (MSL) Martian transfer mission phase. These evaluation cases validate NNAV and provide concrete evidence of its operational capability for this particular application. Improvement to onboard state estimation performance and reduced reliance on Earth-based assets is demonstrated through simulation of the MSL spacecraft utilizing NNAV processes and embedded packets within a limited network containing DSN and MRO. From the demonstrated state estimation performance, NNAV is shown to be a capable and viable method of deep space navigation. Through its implementation as a state augmentation method, the concept integrates with traditional measurements and reduces the dependence on Earth-based updates. Future development of this concept focuses on a growing network of assets and spacecraft, which allows for improved operational flexibility and accuracy in spacecraft state estimation capability and a growing solar system-wide navigation network.

This Thesis covers the development of an alternative Global Navigation Satellite System (GNSS) augmentation technology that has become known as the Ground-based Regional Augmentation System (GRAS). GNSS augmentation technologies in support of aviation have largely been developed by countries with large economies such as the USA and members of the European Union. These technologies have focussed on solutions to the specific problems of the host nations, based on the demographics, political and economic factors relevant to them. Outside these countries, the role of GNSS augmentation has largely been ignored, specifically when considering wide area augmentation utilising Satellite Based Augmentation Systems (SBAS). SBAS technologies are expensive, and cannot be justified for nations like Australia with a relatively small number of aircraft, operated in a focussed geographic area. Utilising SBAS services provided by another country introduces cultural, legal and institutional issues that are not always easily addressed. GRAS was derived to provide a cost-effective wide area augmentation capability to nations that lacked the economic ability to field SBAS technologies. This work covers the evolution of the GRAS concept, the construction and testing of the GRAS test bed and its associated test avionics, as well as the development of standards needed to support GRAS as an internationally accepted aviation standard. The major outcome from this work was the confirmation that GRAS could meet the Required Navigation Performance (RNP) standards for Approaches with Vertical Guidance Level 2 (APV-II) as well as all less demanding modes of flight. Results from numerous ground and flight tests conducted under this research program have been reviewed by the International Civil Aviation Organisation (ICAO) GNSS Panel (GNSSP), and been instrumental in the development and validation of Standards and Recommended Practices (SARPs) which promulgate how ICAO standardised systems should perform. The final component of this work describes the project management and technology approval processes needed to get an internationally standardised system into operational use, and the particular problems that a small country like Australia has in progressing these tasks on the World stage.

Zugl.: Bielefeld, Univ., Diss., 2002

Thesis (M.S.)--Ohio University, August, 1985. / Title from PDF t.p.

Thesis (D.C.L.). / Written for the Institute of Air and Space Law. Title from title page of PDF (viewed 2008/08/04). Includes bibliographical references.

Thesis (M.S.)--Ohio University, November, 1989. / Title from PDF t.p.

Diplôme--Institut universitaire de hautes études internationales--Genève, 1991. N°: 342.

Texte remanié de: Th. Ph. D.--Bombay university, 1978. / Bibliogr. p. [329]-341.