>
Fa   |   Ar   |   En
   Empirical Mode Decomposition Based Adaptive Filtering For Orthogonal Frequency Division Multiplexing Channel Estimation  
   
نویسنده Hari Krishna E. ,Sivani K. ,Ashoka Reddy K.
منبع International Journal Of Engineering - 2017 - دوره : 30 - شماره : 10 - صفحه:1517 -1525
چکیده    This paper presents an empirical mode decomposition (emd) based adaptive filter (af) for channel estimation in ofdm system. in this method, length of channel impulse response (cir) is first approximated using akaike information criterion (aic). then, cir is estimated using adaptive filter with emd decomposed imf of the received ofdm symbol. the correlation and kurtosis measures are used to select the useful imf component from among available imfs. conventional af uses random initial weight vector. the novelty of the proposed method is that it uses decimated version of one of the decomposed imfs of received ofdm symbol as initial weight vector. this makes the proposed emd based af method converge to minimum mean square error (mmse) in less number of iterations resulting in almost 50% saving of computations. the simulation studies in terms of bit error rate (ber) and mean square error (mse) calculations established the efficacy of proposed method; and comparative studies under different modulation schemes and fading conditions revealed improved performance.
کلیدواژه Orthogonal Frequency Division Multiplexing ,Multi Carrier Channel Estimation ,Adaptive Filtering ,Empirical Mode Decomposition ,Multipath Fading Channel
آدرس Kakatiya University, University College Of Engineering, Electronics And Communication Engineering Department, India, Kakatiya Institute Of Technology & Science, Electronics And Instrumentation Engineering Department, India, Kakatiya Institute Of Technology & Science, Electronics And Communication Engineering Department, India
پست الکترونیکی kareddy.iitm@gmail.com
 
     
   
Authors
  
 
 

Copyright 2023
Islamic World Science Citation Center
All Rights Reserved