DocumentCode :
710330
Title :
Iterative time domain estimation of rapidly changing channel for OFDM systems in a cognitive radio context
Author :
Kalakech, Ali ; Darazi, Rony ; Berbineau, Marion ; Simon, Eric ; Dayoub, Iyad
Author_Institution :
Ticket Lab. Hadat-Baabda, Antonine Univ., Baabda, Lebanon
fYear :
2015
fDate :
April 29 2015-May 1 2015
Firstpage :
268
Lastpage :
273
Abstract :
Rapidly changing channels typically occurs in high speed situations where Doppler phenomena, related to the terminal´s high speed, affects the use of OFDM systems by producing a loss of orthogonality between different carriers. Thus, the channel estimation and equalisation become a challenging problem especially when the number of pilot carriers is limited. In this paper we make use of the cognitive abilities provided by cognitive radio systems in order to propose an iterative Time Domain Linear Minimum Mean Square Error (TD-LMMSE) estimation algorithm for rapidly changing channels in OFDM system. The TD-LMMSE emulates the effect of a sliding window, and iteratively remove the interference caused by the data field. Simulation results, showing a significant gain in terms of MSE and Bit Error Rate (BER) compared to other state of the art algorithms are reported over a wide Signal-to-Noise Ratio (SNR) range.
Keywords :
OFDM modulation; channel estimation; cognitive radio; error statistics; iterative methods; least mean squares methods; BER; Doppler phenomena; MSE; OFDM systems; SNR range; TD-LMMSE estimation algorithm; bit error rate; channel changing estimation; channel estimation; cognitive radio; data field; iterative time domain linear minimum mean square error estimation algorithm; signal-to-noise ratio range; Bit error rate; Channel estimation; Estimation; OFDM; Receivers; Signal to noise ratio; Time-domain analysis; LMMSE filter; OFDM; channel estimation; time-varying channels;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Technological Advances in Electrical, Electronics and Computer Engineering (TAEECE), 2015 Third International Conference on
Conference_Location :
Beirut
Print_ISBN :
978-1-4799-5679-1
Type :
conf
DOI :
10.1109/TAEECE.2015.7113638
Filename :
7113638
Link To Document :
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