Mendeley
TY  _  JOUR
ID  -  13940909141759700
TI  -  Joint Blind Equalization and Decoding over Frequency Selective Channels in OFDM Systems Using  Particle Filtering Joint Blind Equalization and Decoding over Frequency Selective Channels in OFDM Systems Using Particle Filtering
JO  -  Nashriyyah -i Muhandisi -i Barq va Muhandisi -i Kampyutar -i Iran
JA  -  ES
LA  -  fa
SN  -  16823745
AU  -  Ghasemi N.
AU  -  Sabahi Mohammad Farzan
AU  -  Forouzan A. R.
AD  -  دانشگاه اصفهان
AD  -  Isfahan university
AD  -  دانشگاه اصفهان
Y1  -  2015
PY  -  2015
VL  -  3
IS  -  
SP  -  151
EP  -  158
KW  -  OFDM
blind equalization
joint equalization and decoding
particle filtering
DO  -  
N2  -  In this paper a sequential algorithm is proposed for joint blind channel equalization and decoding for orthogonal frequency-division multiplexing (OFDM) in frequency selective channels. This algorithm offers a recursive method to sequentially calculate the posterior probability for maximum a posteriori (MAP) detection. Recursive calculations are done along the indexes in each OFDM symbol using a particle filter. By defining an appropriate importance function, and a proper prior probability distribution function for the channel tap coefficients (and marginalizing it), an efficient method is presented for joint equalization and channel decoding in OFDM based systems. Performance of the proposed detector is evaluated using computer simulations and its bit error rate is compared with the trained turbo equalizer and a conventional particle filter-based method. The results show that the proposed method outperforms the previously presented particle filter-based method without a need for training data.
UR  - rimag.ir/en/Article/28132
L1  - rimag.ir/en/Article/Download/28132
ER  -  
