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| Dwpt Based FFT and Its Application to SNR Estimation in OFDM Systems
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Source |
Signal Processing: An International Journal (SPIJ) |
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Table of Contents |
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Volume: 3 Issue: 2 |
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Pages: 14-33 |
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Publication
Date: April 2009 |
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ISSN
(Online): 1985-2339 |
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Pages |
22 - 33 |
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Author(s) |
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Published
Date |
18-05-2009 |
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Publisher |
CSC
Journals, Kuala Lumpur,
Malaysia |
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ADDITIONAL
INFORMATION |
| Keywords Abstract References Cited by Related Articles Collaborative
Colleague |
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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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| 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 |
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Reddy, S. and Arslan H. “Noise Power and SNR Estimation for OFDM Based Wireless Communication Systems”, Wireless Communication and Signal Processing Group, 2003 |
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| 3 |
Kamel N.S. and Joeti V. “Linear prediction based approach to SNR estimation in AWGN channel”, 23rd Biennial Sympiosium on Communications,2006 |
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| 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 |
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| 5 |
Bournard, S. “Novel Noise Variance and SNR Estimation Algorithm for Wireless MIMO OFDM Systems”, IEEE GLOBECOM vol., 2003 |
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| 6 |
Oppenheim, A. V.; Schafer, R. W.: ''Discrete-Time Signal Processing'',Prentice-Hall, 1989. |
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| 7 |
Guo, H.; Burrus, C. S.: ''Wavelet Transform Based Fast Approximate Fourier Transform'', Proc. of ICAASP-1997, Munich, Germany. |
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| 8 |
Prasad, R. “OFDM for Wireless Communications Systems”, Boston, Artech House Inc., 2004 |
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| 9 |
IEEE 802.16-2004,”IEEE Standard for Local and Metropolitan Area Networks Part 16: Air Interface for Fixed Broadband Wireless Access Systems”, 2004 |
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| 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. |
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| 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. |
|
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| 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. |
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| 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. |
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| 14 |
Jakes., 2004, “Microwave Mobile Communications”. New York: Wiley, 2004. |
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| 15 |
Van Nee, 2000 “OFDM for wireless multimedia communications. London: Artech House. |
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| 16 |
H. Van Trees., 1968 “Detection, Estimation, and Modulation Theory”, vol.1, New York, Wiley. |
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| 17 |
H. Hayes, 1996, Statistical Digital Signal Processing and Modeling, John Wiley. |
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| 18 |
Haykin, S. and Moher, M. “Modern Wireless Communicatios”, Ontario, Pearson Education Inc., 2005 |
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| 19 |
Haykin, 2005., “Modern Wireless Communicatios” Ontario, Pearson Education Inc. |
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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). |
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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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