The work presented in this Thesis examines the transmission of a turbo-coded 16QAM signal through a nonlinear satellite channel and the inherent distortions caused by that channel. Both transmit side predistortion and receive side equalization techniques are presented to overcome the adverse effects of the satellite channel. / The combination of transmit filtering, instantaneous nonlinearity and receive filtering produces a nonlinear channel with memory. A direct analytical approach to describing the equalization of this channel becomes intractable very quickly. In this work we present an approach to mitigating the adverse effects of the nonlinear channel by considering each of the significant adverse effects, quantifying them and proposing mitigation techniques. A model is proposed which accounts for each of the effects of the nonlinear channel and simulation results are presented in order to verify the proposed model. The model gives insight into the nonlinear channel and treats two important aspects for mitigation techniques; firstly the model shows where performance gains can be made given ideal mitigation techniques and secondly it gives performance limits that can be expected from these techniques. / Thesis (PhDTelecommunications)--University of South Australia, 2006

Thesis (PhD)--University of South Australia, 1996

Thesis (PhD)--University of South Australia, 1996

The work presented in this Thesis examines the transmission of a turbo-coded 16QAM signal through a nonlinear satellite channel and the inherent distortions caused by that channel. Both transmit side predistortion and receive side equalization techniques are presented to overcome the adverse effects of the satellite channel. / The combination of transmit filtering, instantaneous nonlinearity and receive filtering produces a nonlinear channel with memory. A direct analytical approach to describing the equalization of this channel becomes intractable very quickly. In this work we present an approach to mitigating the adverse effects of the nonlinear channel by considering each of the significant adverse effects, quantifying them and proposing mitigation techniques. A model is proposed which accounts for each of the effects of the nonlinear channel and simulation results are presented in order to verify the proposed model. The model gives insight into the nonlinear channel and treats two important aspects for mitigation techniques; firstly the model shows where performance gains can be made given ideal mitigation techniques and secondly it gives performance limits that can be expected from these techniques. / Thesis (PhDTelecommunications)--University of South Australia, 2006

Thesis (MSc)--University of Stellenbosch, 2007. / Bibliography. Also available via the Internet.

Thesis (M.S.)--Brigham Young University. Dept. of Geography, 2006. / Includes bibliographical references (p. 50-53).

Thesis (Ph. D.)--University of Texas at Austin, 2008. / Vita. Includes bibliographical references.

Thesis (M.S.)--California Polytechnic State University, 2009. / Mode of access: Internet. Title from PDF title page; viewed on April 21, 2009. Major professor: Fred DePiero, Ph.D. "Presented to the faculty of California Polytechnic State University, San Luis Obispo." "In partial fulfillment of the requirements for the degree [of] Master of Science in Electrical Engineering." "April 2009." Includes bibliographical references (p. 70). Also available on microfiche.

Thesis (M.App.Sc.) - Carleton University, 2002. / Includes bibliographical references (p. 124-130). Also available in electronic format on the Internet.

Thesis (M.S.)--Virginia Polytechnic Institute and State University, 1994. / Vita. Abstract. Includes bibliographical references. Also available via the Internet.