Archive for Task 9

Task 9

task9

Task description and Expected results
Another very important theme to be dealt with is on the possibility to use the digital capabilities to resolve and to optimize the analog hardware drawbacks, for instance one possibility is to create a post-distortion or a pre-distortion in order to linearize the receiver and/or the transmitter, and then optimize the transmitting/receiving signal quality. Nevertheless for this to be true one
need to extract and to model carefully the analog components on the system, by studying carefully its behavior, either in frequency but also in amplitude variations. Thus a very important point to be dealt with in this project is the behavioral modeling aspects.
In this task some strategies will be evaluated to propose new multi-carrier and multi-standard nonlinear behavior models, in an easy and efficient way. One possibility pass by the study of X-parameters, since they are the natural extension of S-parameters, they can be extracted in real time, and can be used to model, in a black-box approach, the nonlinear and frequency behavior of
analog components.
The team devoted to this task will propose new models combining traditional approaches as Volterra Series with X-parameters in order to maximize the applicability of the extracted models. The models will also be studied in the light of easy parameter extraction, by proposing extraction mechanisms that can be applied easily to real environments and adapt continuously.
In addition, conventional models such as memory polynomial, Wiener, Hammerstein, Murray Hill, etc. will be revisited to apply for the sparse multi-channel case and studied on their performance dependence on hardware structures to be developed in Task 1. This study is expected to be mainly focused on properly modeling long-term memory resulting from the inter-band carrier
aggregation scenario. Advantages of each model will be taken into account when developing new models.
In this task it is expected that a strong collaboration exists between the other TSK, and some strategies will change depending on the findings on other TSK’s.
At the end of this TSK it is expected that the state of the art will be improved in the following topics:
• Behavioral models for multi-carrier signals
• Extraction procedures that can be used in real time
• Instrumentation design and proposals for mixed domain modeling
• X-parameter evaluation to use in mixed-domain systems
The task will be based mainly on the expertise of IT-Aveiro team, since the background in the area will allow a faster evolution time. In this task 3 PhD researchers, 2 PhD students and one of the Bolseiros will devote its time to developed this work.

Mem bers of the research team in this task: (BI) Bolseiro de Investigação (Mestre) 1; (BI) Bolseiro de Investigação (Mestre) 2; Nuno Miguel Gonçalves Borges de C arvalho; Pedro Miguel Duarte C ruz; WONHOON JANG;