20276

Автор(ы): 

Автор(ов): 

4

Параметры публикации

Тип публикации: 

Доклад

Название: 

Implementation of Quasi-Maximum-Likelihood Detection Based on Semidefinite Relaxation and Linear Programming

ISBN/ISSN: 

978-1-4673-4681-8

Наименование конференции: 

  • 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel

Наименование источника: 

  • Proceedings of the 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel

Город: 

  • Eilat

Издательство: 

  • Tel-Aviv University

Год издания: 

2012

Страницы: 

1-5
Аннотация
Inthispaper,anewnumericalmethodispro-posedforfastsignaldetectioninlargescaleMIMOsystems.Semideniterelaxation(SDR)approachisutilized.TheSDRproblemisfurtherreducedtothesequentiallinearprogrammingbyaddingnewformofcuttingplanesandcolumngenerationmethod.Biterrorrate(BER performanceresultsconcludethepaper.BERperformanceiscomparedwithotherMIMOdetectionalgorithms.Performanceofthenewschemepracticallyidenticaltoperformanceofthemaximum-likelihooddetection,whilecomplexityismuchlessanddoesnotdependontheconditioningnumberofthechannelmatrix.

Библиографическая ссылка: 

Рапопорт Л.Б., Yanxing Z.Z., Jianqiang S.S., Иванов В.И. Implementation of Quasi-Maximum-Likelihood Detection Based on Semidefinite Relaxation and Linear Programming / Proceedings of the 2012 IEEE 27th Convention of Electrical and Electronics Engineers in Israel. Eilat: Tel-Aviv University, 2012. С. 1-5.