scholarly journals Analytical Mimo Ofdm System Representation Based On Fractional Fourier Transform

Author(s):  
HANADI MOHAMMED ◽  
MOHAMMED ALI ◽  
SHA XUEJUN
2021 ◽  
Author(s):  
Yong Li ◽  
Zhiqun Song ◽  
Teng Sun ◽  
Bin Wang

To suppress the peak to average power ratio (PAPR) of wireless communication based upon multi-carrier system. We, in this paper, proposed the three term weighted type fractional Fourier transform (3-WFRFT) based generalized hybrid carrier (GHC) system. We first provide the definition of 3-WFRFT. Moreover, some useful properties of 3-WFRFT have been presented, in this paper, which will helpful to comprehend the novel 3-WFRFT transform. Furthermore, we take PAPR of the proposed algorithm, in comparison with orthogonal frequency division multiplexing (OFDM) system and single carrier modulation (SC) system under typical complementary cumulative density function (CCDF) level. It would be demonstrated that, from some numerical simulations, the proposed 3-WFRFT based GHC performs better than OFDM system and will be useful to reduce the PAPR level.


2013 ◽  
Vol 50 (10) ◽  
pp. 100605
Author(s):  
刘畅 Liu Chang ◽  
童峥嵘 Tong Zhengrong ◽  
曹晔 Cao Ye ◽  
张卫华 Zhang Weihua

2016 ◽  
Vol 2016 ◽  
pp. 1-7 ◽  
Author(s):  
Atul Kumar ◽  
Maurizio Magarini ◽  
Hem Dutt Joshi ◽  
Rajiv Saxena

We present the exact symbol error rate (SER) expression for quadrature phase shift keying (QPSK) modulation in frequency selective Rayleigh fading channel for discrete fractional Fourier transform- (DFrFT-) based orthogonal frequency division multiplexing (OFDM) system in the presence of carrier frequency offset (CFO). The theoretical result is confirmed by means of Monte Carlo simulations. It is shown that the performance of the proposed system, at different values of the DFrFT angle parameter “α,” is better than that of OFDM based on discrete Fourier transform.


2018 ◽  
Vol 7 (2.21) ◽  
pp. 228
Author(s):  
B Somasekhar ◽  
Ch Mohana Krishna ◽  
Y Murty

In this paper channel estimation methods for MIMO-OFDM system are investigated based on Fourier Transform and Wavelet Transform. The channel estimation algorithm based on Discrete Fourier Transform (DFT) cause energy leakage in multipath channel with non-sample-spaced time delays. Discrete Cosine Transform (DCT) based channel estimator can mitigate the drawback of Discrete Fourier Transform based channel estimator, when the non-sample spaced path delays are available in multipath fading channels. Wavelet based systems provide better spectral efficiency because of no cyclic prefix requirement, with narrow side lobes and also exhibit improved BER performance. Simulation results reveal that the DWT based transform outperforms the conventional DFT and DCT based channel estimator in terms of bit error rate and mean square error.  


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