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DPD 方面的资料
This dissertation presents a study of linearization techniques that have been ap-
plied to power ampli¯ers in the cellular communication industry. The objective of this
work is to understand the limitations of power ampli¯ers, speci¯cally the limitations
introduced by the use of spectrally e±cient modulation schemes. The digitization
of communication systems has favored the use of new techniques and technologies
capable of increasing the e±ciency of costly power ampli¯ers. The work explores
traditional and digital linearization systems; an algorithm based on the principles
of natural recombination is proposed to directly address the limitations of previous
embodiments. Previous techniques, although e®ective, have signi¯cant implementa-
tion costs that increase exponentially with the increasing signal bandwidths. The
proposed software-hardware architecture signi¯cantly reduces implementation costs
and the overall complexity of the design without sacri¯cing performance.
To ful¯ll the requirements of this study, multiple systems are implemented through
simulation and closed-loop hardware. Both simulation and hardware embodiments
meet the expected performance metrics, providing validation of the proposed algo-
rithm. The application of the algorithm to memory power ampli¯er linearization is a
new approach to adaptive digital pre-distortion using narrowband feedback. The work
will show performance improvements on an ampli¯er with memory e®ects suggesting
that this technique can be employed as a lower-cost solution to meet requirements
when compared to typical system implementations. |
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