adaptive equalizer
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2021 ◽  
Author(s):  
Sagi Tadmor ◽  
Sapir Carmi ◽  
Monika Pinchas

In this paper, we propose for the 16 quadrature amplitude modulation (QAM) input case, a dual-mode (DM), decision directed (DD) multimodulus algorithm (MMA) algorithm for blind adaptive equalization which we name as DM-DD-MMA. In this new proposed algorithm, the MMA method is switched to the DD algorithm, based on a previously obtained expression for the step-size parameter valid at the convergence state of the blind adaptive equalizer, that depends on the channel power, input signal statistics and on the properties of the chosen algorithm. Simulation results show that improved equalization performance is obtained for the 16 QAM input case compared with the DM-CMA (where CMA is the constant modulus algorithm), DM-MCMA (where MCMA is the modified CMA) and MCMA-MDDMA (where MDDMA is the modified decision directed modulus algorithm).


2021 ◽  
Author(s):  
Maha George

Design adaptive equalizer using Affine projection algorithm for MIMO SC-FDMA and compare it with MMSE . Both equalizers are used within overlap-save method. Also a turbo decoder is used in conjunction with overlap-save method to enhance the BER performances in 8x8 and 16x16 MIMO SC-FDMA.


2021 ◽  
Author(s):  
Maha George

Design adaptive equalizer using Affine projection algorithm for MIMO SC-FDMA and compare it with MMSE . Both equalizers are used within overlap-save method. Also a turbo decoder is used in conjunction with overlap-save method to enhance the BER performances in 8x8 and 16x16 MIMO SC-FDMA.


Author(s):  
Jae-Woo Park ◽  
Dongsuk Kang ◽  
Injae Park ◽  
Minsu Park ◽  
Xuefan Jin ◽  
...  
Keyword(s):  

2021 ◽  
Author(s):  
Miaomiao Wu ◽  
Mingche Lai ◽  
Fangxu Lv ◽  
Jianjun Shi ◽  
Heming Wang ◽  
...  
Keyword(s):  

2021 ◽  
Author(s):  
Marcos Troncoso Costas ◽  
Colm Browning ◽  
Francisco Diaz Otero ◽  
Andrew Ellis ◽  
Liam Barry

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