Low sidelobe pseudo-orthogonal code sets through particle swarm optimization

Zach Dunn, Mark Yeary, Faruk Uysal, Caleb Fulton

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

5 Citations (Scopus)

Abstract

Future and emerging radar systems are experiencing growing reliance on MIMO functionality in order to support demand for finer resolution and greater data collection under increasingly stringent spectral requirements. In order to support MIMO functionality while preserving spectral usage requirements, pseudo-orthogonal waveform sets are desired. In order to balance the complicated and often contradicting parameter requirements involved in creating pseudo-orthogonal waveform sets, a particle swarm-based optimization technique is introduced. This technique is shown to be applicable to several types of pseudo-orthogonal code sets, including a polyphase coded waveform set and a non-linear frequency modulated waveform set formed utilizing a novel parameterization method.
Original languageEnglish
Title of host publication2016 IEEE Radar Conference, RadarConf 2016
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages194-197
Number of pages4
ISBN (Electronic)978-1-5090-0863-6
DOIs
Publication statusPublished - 2016
Externally publishedYes
Event2016 IEEE Radar Conference, RadarConf 2016: Enabling Technologies for Advances in Radar - Philadelphia, PA, United States
Duration: 2 May 20166 May 2016

Conference

Conference2016 IEEE Radar Conference, RadarConf 2016
CountryUnited States
CityPhiladelphia, PA
Period2/05/166/05/16

Keywords

  • Particle Swarm Optimization
  • Pseudo-Orthogonal Code Sets

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