High Power Amplifier Pre-distorter based on Neural-Fuzzy Systems for OFDM signals Articles uri icon

publication date

  • March 2011

start page

  • 149

end page

  • 158

issue

  • 1

volume

  • 57

International Standard Serial Number (ISSN)

  • 0018-9316

Electronic International Standard Serial Number (EISSN)

  • 1557-9611

abstract

  • In this paper, a novel High Power Amplifier (HPA) pre-distorter based on Adaptive Networks - Fuzzy Inference Systems (ANFIS) for Orthogonal Frequency Division Multiplexing (OFDM) signals is proposed and analyzed. Models of Traveling Wave Tube Amplifiers (TWTA) and Solid State Power Amplifiers (SSPA), both memoryless and with memory, have been used for evaluation of the proposed technique. After training, the ANFIS linearizes the HPA response and thus, the obtained signal is extremely similar to the original. An average Error Vector Magnitude (EVM) of 10-6 can be easily obtained with our proposal. As a consequence, the Bit Error Rate (BER) degradation is negligible showing a better performance than what can be achieved with other methods available in the literature. Moreover, the complexity of the proposed scheme is reduced.

subjects

  • Telecommunications

keywords

  • high power amplifiers; inferences techniques; linearization techniques; memory; memoryless