Nonlinear equalization for RF receivers

Brandon Kam, Benjamin A. Miller, Joel Goodman, Gil Raz

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


This paper describes the need for High Performance Computing (HPC) to facilitate the development and implementation of a nonlinear equalizer that is capable of mitigating and/or eliminating nonlinear distortion to extend the dynamic range of radar front-end receivers decades beyond the analog state-of-the-art. The search space for the optimal nonlinear equalization (NLEQ) solution is computationally intractable using only a single desktop computer. However, we have been able to leverage a combination of an efficient greedy search with the high performance computing technologies of LLGrid and MatlabMPI to construct an NLEQ architecture that is capable of extending the dynamic range of Radar frontend receivers by over 25dB.

Original languageEnglish
Title of host publicationProceedings - HPCMP Users Group Conference, UGC 2006
Number of pages5
StatePublished - 2006
Externally publishedYes
EventHPCMP Users Group Conference, UGC 2006 - Denver, CO, United States
Duration: 26 Jun 200629 Jun 2006

Publication series

NameProceedings - HPCMP Users Group Conference, UGC 2006


ConferenceHPCMP Users Group Conference, UGC 2006
Country/TerritoryUnited States
CityDenver, CO

ASJC Scopus subject areas

  • Computer Science (all)
  • Software
  • Computational Mechanics


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