Symbol detection using the differential evolution algorithm in MIMO-OFDM systems

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Küçük Resim

Tarih

2013

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Erişim Hakkı

info:eu-repo/semantics/openAccess

Özet

Channel estimation and symbol detection in multiple-input and multiple-output (MIMO)-orthogonal frequency division multiplexing (OFDM) systems are essential tasks. Although the maximum likelihood (ML) detector reveals excellent performance for symbol detection, the computational complexity of this algorithm is extremely high in systems with more transmitter antennas and high-order constellation size. In this paper, we propose the differential evolution (DE) algorithm in order to reduce the search space of the ML detector and the computational complexity of symbol detection in MIMO-OFDM systems. The DE algorithm is also compared to some heuristic approaches, such as the genetic algorithm and particle swarm optimization. According to the simulation results, the DE has the advantage of significantly less complexity and is closer to the optimal solution.

Açıklama

Anahtar Kelimeler

Mühendislik, Elektrik ve Elektronik

Kaynak

Turkish Journal of Electrical Engineering and Computer Sciences

WoS Q Değeri

Scopus Q Değeri

Q2

Cilt

21

Sayı

2

Künye

Seyman M. N., Taşpınar N. (2013). Symbol detection using the differential evolution algorithm in MIMO-OFDM systems. Turkish Journal of Electrical Engineering and Computer Sciences, 21(2), 373 - 380.