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This comprehensive compendium highlights the research results of nonlinear channel modeling and simulation. Nonlinear channels include nonlinear satellite channels, nonlinear Volterra channels, molecular MIMO channels, etc.
This volume involves wavelet theory, neural network, echo state network, Machine Learning, support vector machine, chaos calculation, principal component analysis, Markov chain model, correlation entropy, fuzzy theory and other theories for nonlinear channel modeling and equalization. The useful reference text enriches the theoretical system of nonlinear channel modeling and improving the means of establishing nonlinear channel model. It is suitable for engineering technicians, researchers and graduate students in information and communication engineering, and control science and engineering, intelligent science and technology.
The key technology in the field of satellite communication is satellite channel modeling and equalization, and the research on this technology is helpful in improving the feasibility and quality of satellite communication system services. In this book, the satellite communication channel is taken as the research object, and the nonlinearity of the satellite communication channel is taken as the foothold, so research on the establishment of a nonlinear channel model and the design of equalization technology is carried out.
The book consists of seven chapters. In Chapter 1, based on the analysis of the influencing factors of satellite communication quality, the research status of satellite channel modeling and equalization technology at home and abroad is summarized, and the research content from the perspective of system theory is put forward. Chapter 2 briefly analyzes the basic composition, basic parameters, layered propagation characteristics of satellite channel, classical satellite channel model and second-order statistical characteristic parameters, and satellite channel model simulation method, and so on. In Chapter 3, the satellite channel states in atmospheric environments and ground environments are analyzed, and the multi-state Markov chain model of satellite channel is established and simulated. In Chapter 4, aiming at the nonlinearity caused by traveling ware tube (TWT) amplifier and group delay in satellite, the nonlinear channel model both under the background of the Gaussian noise and alpha stable distributed noise and based on the combined effect of TWT amplifier and group delay is created and simulated. In Chapters 5 and 6, using the established nonlinear channel model and integrating various novel technologies into the equalization technology, the nonlinear channel equalization algorithms are proposed, and the performance of the proposed algorithms is verified. In Chapter 7, taking satellite MIMO channel and molecular MIMO channel as the research object, the multi-state Markov chain model, Machine Learning model, and simulation method of MIMO channel are analyzed