Home           Contact us           FAQs           
 
   Journal Page   |   Aims & Scope   |   Author Guideline   |   Editorial Board   |   Search
    Abstract
2013 (Vol. 6, Issue: 04)
Article Information:

Analysis and Realization on Turbo Equalization based on 64-QAM in OFDM System

Peng Gao
Corresponding Author:  Peng Gao 

Key words:  CMA (Constant Modulus Algorithm), DFE (Decision Feedback Equalizer), MMSE (Minimum Mean Square Error), OFDM (Orthogonal Frequency Division Multiplexing), Turbo Equalization, 64-QAM, ,
Vol. 6 , (04): 720-728
Submitted Accepted Published
October 12, 2012 November 29, 2012 June 20, 2013
Abstract:

With the development of the mobile communication, the related technologies have gone through a rapid growing phase from 1G to 3G, until 4G. The technology evolution targets to improve the performance of overall system, and promote the related services and applications. In this paper, author makes analysis on Turbo equalization based on M-QAM modulation in OFDM system. Since Turbo equalization is an iterative receiver algorithm repeating equalization and channel decoding to improve the performance of the receiver, there researches on Turbo codes and turbo equalization have been emphasis, especially on the error-correction during these years. Due to the operations of equalization and decoding are repeated several times in one process, the computational complexity is increased in the receiver. Author aims at the cost function of CMA (Constant Modulus Algorithm) to change or recreate a new algorithm, and then as a contrast with the error functions, we can see the advantages about this change. Finally, author makes simulations on the Turbo equalization based on 64-QAM in OFDM system. Compared with the Turbo equalization based on 16-QAM, the performance of Turbo equalization based on 64-QAM is more efficient.
Abstract PDF HTML
  Cite this Reference:
Peng Gao, 2013. Analysis and Realization on Turbo Equalization based on 64-QAM in OFDM System.  Research Journal of Applied Sciences, Engineering and Technology, 6(04): 720-728.
    Advertise with us
 
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
Submit Manuscript
   Current Information
   Sales & Services
   Contact Information
  Executive Managing Editor
  Email: admin@maxwellsci.com
  Publishing Editor
  Email: support@maxwellsci.com
  Account Manager
  Email: faisalm@maxwellsci.com
  Journal Editor
  Email: admin@maxwellsci.com
  Press Department
  Email: press@maxwellsci.com
Home  |  Contact us  |  About us  |  Privacy Policy
Copyright © 2009. MAXWELL Science Publication, a division of MAXWELLl Scientific Organization. All rights reserved