الفهرس 
AcknowledgementOnly 14 pages are availabe for public view
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Abstract
The present thesis gives a detailed study of integrated navigation systems for the purpose of obtaining much more accurate position - that is less error variance - than that from each system (device) alone, under certain conditions. This is attained by modelling each navigation receiver then optimizing the c00fficients.of the linear dynamic equations representing the different receivers of the proposed systems using Kalman filtering, Least square techniques and use of feed forward configurations. Due to the unavailability of actual observed (output) readings of the different devices, random numbers are generated fulfilling a normal distribution combined with an assumed theoritical path. These simulated readings throw some light on the power of the different methods used. To get reasonable results the programmer must have accurate and clear idea about all sources of errors, their probabilities, their distributions, and variances. Chapter II gives a detailed analysis of the different sources of errors. The thesis is divided into two parts. Part I is devoted to previous author’s work, while Part II gi~es the contribution. Part I includes three chapters. Chapter I for the introduction, needs for integration and review of electronic navigational systems. review briefly the omega and satellite systems beside the navigational errors. Chapter III is devoted for techniques of Kalman filtration and least square methods. Part 11 includes two chapters. Chapter IV consists of finding the mathematical model for any navigation radio system (common model) and omega model ann some illustrative numerical examples. Chapter V describes certain confi~urations to integrate navigation systems. Integrations using two and three systems are analysed, with illustrative examples and figures. It is concluded that integrations result in much more accurate position than any of the systems alone, under certain conditions.