• English
    • Türkçe
  • English 
    • English
    • Türkçe
  • Login
View Item 
  •   DSpace Home
  • Araştırma Çıktıları / WOS
  • Araştırma Çıktıları / WOS
  • View Item
  •   DSpace Home
  • Araştırma Çıktıları / WOS
  • Araştırma Çıktıları / WOS
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

On channel estimation for spatial modulated systems over time-varying channels

Thumbnail
View/Open
On channel estimation for spatial modulated systems over time-varying channels.pdf (957.3Kb)
Date
2015
Author
Acar, Yusuf
Doğan, Hakan
Panayırcı, Erdal
Abstract
Spatial Modulation (SM) has been proposed recently for multiple-input multiple-output (MIMO) systems to cope with the interchannel interference and to reduce the detection complexity as compared to the conventional MIMO systems. In SM system the data symbols are transmitted by a randomly selected active antenna of a MIMO transmitter to the receiver through a wireless channel. The information is carried both by the data symbol from any signal constellation such as M-ary phase shift keying (M-PSK) or M-ary quadrature amplitude modulation (M-QAM) by the index of the selected antenna. The channel estimation is a critical process at the receiver during the coherent detection of the transmitted symbol and the antenna index randomly selected. Recently the channel estimation of channel for SM systems has been investigated by the recursive least square (RLS) algorithm for only quasi-static fading channels. In this paper a novel channel estimation is proposed for SM systems in the presence of rapidly time-varying channels. The Bayesian mean square error (MSE) bound has been derived as a benchmark and the performance of the proposed approaches is studied in terms of MSE and bit-error rate (BER). Computer simulation results have confirmed that the proposed iterative channel estimation technique has significant BER/MSE performance advantages compared with existing channel estimation algorithm proposed earlier in the literature. (C) 2014 Elsevier Inc. All rights reserved.

Source

Digital Signal Processing

Volume

37

Pages

43-52

URI

https://hdl.handle.net/20.500.12469/617
https://dx.doi.org/10.1016/j.dsp.2014.11.004

Collections

  • Araştırma Çıktıları / Scopus [1565]
  • Araştırma Çıktıları / WOS [1518]
  • Elektrik-Elektronik Mühendisliği / Electrical - Electronics Engineering [321]

Keywords

Spatial modulation
Iterative channel estimation
Recursive least square
Curve fitting
Time-varying channel

Share


DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV
 

 

Browse

All of DSpaceCommunities & CollectionsBy Issue DateBy AuthorsBy TitlesBy SubjectsBy TypesBy LanguagesBy DepartmentsBy PublishersBy KHAS AuthorsBy Access TypesThis CollectionBy Issue DateBy AuthorsBy TitlesBy SubjectsBy TypesBy LanguagesBy DepartmentsBy PublishersBy KHAS AuthorsBy Access Types

My Account

LoginRegister

Statistics

View Google Analytics Statistics

DSpace software copyright © 2002-2015  DuraSpace
Contact Us | Send Feedback
Theme by 
@mire NV