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Dwpt Based FFT and Its Application to SNR Estimation in OFDM Systems
Rana Shahid Manzoor, Regina Gani, Varun Jeoti, Nidal Kamel, Muhammad Asif
Pages - 22 - 33     |    Revised - 05-05-2009     |    Published - 18-05-2009
Volume - 3   Issue - 2    |    Publication Date - April 2009  Table of Contents
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KEYWORDS
SNR, Adaptive modulation, Wavelet packet, OFDM, Noise power estimation
ABSTRACT
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).
CITED BY (6)  
1 Salleh, S. Z., Safri, N. B. M., Ali, S. H. A., & Safri, N. M. (2009). Moving One Dimensional Cursor Using Extracted Parameter. Signal Processing: An International Journal (SPIJ), 3(5), 110-119.
2 Mat Safri, N., Salleh, S. Z., & Ali, S. H. A. (2009). Moving one dimensional cursor using extracted parameter from brain signals. Signal Processing: An International Journal (SPIJ), 3(5), 110-119.
3 Chen, S., Magani, M., Chen, X., & Parini, C. (2010, March). Exploit adaptive modulation in UWB powerline communication for improved BER performance. In Power Line Communications and Its Applications (ISPLC), 2010 IEEE International Symposium on (pp. 195-200). IEEE.
4 Magani, M., Guo, L., & Chen, X. (2010, September). Improved BER performance on MB-OFDM UWB system using adaptive bit loading. In Ultra-Wideband (ICUWB), 2010 IEEE International Conference on (Vol. 1, pp. 1-4). IEEE.
5 Azmy, H., & Safri, N. M. (2013). EEG Based BCI Using Visual Imagery Task for Robot Control. Jurnal Teknologi, 61(2).
6 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
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1 Xiaodong X., Ya Jing. and Xiaohu Y. “Subspace- Based Noise Variance and SNR Estimation for OFDM Systems”, IEEE Wireless Communications and Networking Conference, 2005
2 Reddy, S. and Arslan H. “Noise Power and SNR Estimation for OFDM Based Wireless Communication Systems”, Wireless Communication and Signal Processing Group, 2003
3 Kamel N.S. and Joeti V. “Linear prediction based approach to SNR estimation in AWGN channel”, 23rd Biennial Sympiosium on Communications,2006
4 Pauluzzi D.R. and Norman C.B. “A Comparison of SNR Estimation techniques for the AWGN Channel”, IEEE Transactions on Communications, Vol. 48 no. 10, 2000
5 Bournard, S. “Novel Noise Variance and SNR Estimation Algorithm for Wireless MIMO OFDM Systems”, IEEE GLOBECOM vol., 2003
6 Oppenheim, A. V.; Schafer, R. W.: ''Discrete-Time Signal Processing'',Prentice-Hall, 1989.
7 Guo, H.; Burrus, C. S.: ''Wavelet Transform Based Fast Approximate Fourier Transform'', Proc. of ICAASP-1997, Munich, Germany.
8 Prasad, R. “OFDM for Wireless Communications Systems”, Boston, Artech House Inc., 2004
9 IEEE 802.16-2004,”IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed Broadband Wireless Access Systems”, 2004
10 IEEE 802.11a, 1999. “Standard for local and metropolitan area networks: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications. High Speed Physical Layer in the 5 GHz Band”. New York: The Institute of Electrical and Electronics Engineers Inc., 1999.
11 IEEE802.11g, 2003. “Standard for local and metropolitan area networks: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) specifications – Amendment 4: Further Higher Data Rate Extension in the 2.4 GHz Band”, New York: The Institute of Electrical and Electronics Engineers Inc., 2003.
12 IEEE802.16, 2001. “Standard for local and metropolitan area networks: Air interface for fixed broadband wireless access systems” New York: The Institute of Electrical and Electronics Engineers Inc., 2001.
13 IEEE802.16a, 2003. “Standard for local and metropolitan area networks: Air interface for fixed broadband wireless access systems – Amendment 2: Medium access control modifications and additional physical layer specifications for 2-11 GHz”. New York: The Institute of Electrical and Electronics Engineers Inc.,2003.
14 Jakes., 2004, “Microwave Mobile Communications”. New York: Wiley, 2004.
15 Van Nee, 2000 “OFDM for wireless multimedia communications. London: Artech House.
16 H. Van Trees., 1968 “Detection, Estimation, and Modulation Theory”, vol.1, New York, Wiley.
17 H. Hayes, 1996, Statistical Digital Signal Processing and Modeling, John Wiley.
18 Haykin, S. and Moher, M. “Modern Wireless Communicatios”, Ontario, Pearson Education Inc., 2005
19 Haykin, 2005., “Modern Wireless Communicatios” Ontario, Pearson Education Inc.
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).
Mr. Rana Shahid Manzoor
- Malaysia
engr.shahid@gmail.com
Miss Regina Gani
Universiti Teknologi PETRONAS (UTP), Malaysia - Malaysia
Assistant Professor Varun Jeoti
Universiti Teknologi PETRONAS (UTP), Malaysia - Malaysia
Dr. Nidal Kamel
Universiti Teknologi PETRONAS (UTP), Malaysia - Malaysia
Mr. Muhammad Asif
Universiti Teknologi PETRONAS (UTP), Malaysia - Malaysia