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Dwpt Based FFT and Its Application to SNR Estimation in OFDM Systems
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Signal Processing: An International Journal (SPIJ)
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Volume:  3    Issue:  2
Pages:  14-33
Publication Date:   April 2009
ISSN (Online): 1985-2339
Pages 
22 - 33
Author(s)  
Rana Shahid Manzoor - Malaysia
Regina Gani - Malaysia
Varun Jeoti - Malaysia
Nidal Kamel - Malaysia
Muhammad Asif - Malaysia
 
Published Date   
18-05-2009 
Publisher 
CSC Journals, Kuala Lumpur, Malaysia
ADDITIONAL INFORMATION
Keywords   Abstract   References   Cited by   Related Articles   Collaborative Colleague
 
KEYWORDS:   SNR, Adaptive modulation, Wavelet packet, OFDM, Noise power estimation 
 
 
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In this paper, wavelet packet (WP) based FFT and its application to SNR estimation is proposed. OFDM systems demodulate data using FFT. The proposed solution computes the exact FFT using WP and its computational complexity is of the same order as FFT, i.e. O (Nlog2 N). SNR estimation is done inside wavelet packet based FFT block unlike previous SNR estimations techniques which perform SNR estimation after FFT. Wavelet packet analyzed data is used to perform SNR estimation in colored noise. The proposed estimator takes into consideration the different noise power levels of the colored noise over the OFDM sub-carriers. The OFDM band is divided into several sub-bands using wavelet packet and noise in each sub-band is considered white. The second-order statistics of the transmitted OFDM preamble are calculated in each sub-band and the power noise is estimated. The proposed estimator is compared with Reddy’s estimator for colored noise in terms of mean squared error (MSE). 
 
 
 
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20 Dr. Aditya Goel et, al. “Integrated Optical Wireless Network For Next Generation Wireless Systems”, Signal Processing: An International Journal (SPIJ), Volume (3): Issue (1).
 
 
 
1 S. Nema, A. Goel, R.P. Singh. "Integrated DWDM and MIMO-OFDM System for 4G High Capacity Mobile Communication System" Signal Processing: An International Journal (SPIJ), 3(5):83-143, 2009
 
 
 
 
 
Rana Shahid Manzoor : Colleagues
Regina Gani : Colleagues
Varun Jeoti : Colleagues
Nidal Kamel : Colleagues
Muhammad Asif : Colleagues  
 
 
 
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