Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon free Orthogonal frequency division multiplexing peak-to-average power ratio reduction by best tree selection using coded discrete cosine harmonic wavelet packet transform

A new orthogonal frequency division multiplexing (OFDM) with reduced peak-to-average power ratio (PAPR) based on coded discrete cosine harmonic wavelet packet transform (DCHWPT), is proposed. In this method, tree pruning is done for the selection of a tree structure with minimum PAPR. To identify different tree structures, Gray code is used which is communicated as side information to the receiver. Also to improve bit error rate (BER) performance and reduce PAPR, Hadamard codes are employed. The proposed method based on DCHWPT exploits the desirable discrete cosine transform (DCT) properties like energy compaction/low leakage, better frequency resolution and its real nature, compared with those of discrete Fourier transform. Further, the harmonic wavelet employed has built in decimation without any associated antialiasing filters and easy reconstruction by concatenation of different scales in frequency (DCT) domain with no image rejection filters and complicated delay compensation makes the proposed wavelet packet simple in implementation. The proposed OFDM discrete cosine harmonic wavelet packet (DCHWP-OFDM) which leverages the advantages of DCHWPT has been used for BPSK modulated signals. The DCHWP-OFDM provides an improvement of PAPR reduction of 2.4 and 3.4 dB as compared with those of Haar and Daubechies-4 wavelet packet OFDM, respectively. This reduction in PAPR is with a BER performance in the range of 0.001–0.0001 at an signal-to-noise ratio of 10 dB.

References

    1. 1)
    2. 2)
      • 2. Lakshmanan, M.K., Nikookar, H.: ‘A review of wavelets for digital wireless communications’ (Wireless Personal Communications, Springer, 2006).
    3. 3)
    4. 4)
      • 11. Zakaria, J., Salleh, M.F.M.: ‘Wavelet based OFDM analysis: BER performance and PAPR profile for various wavelets’. 2012 IEEE Symp. on Industrial Electronics and Applications, 978-1-4673-3075.
    5. 5)
      • 12. Suma, M.N., Narasimhan, S.V., Kanmani, B.: ‘The OFDM system based on discrete cosine harmonic wavelet transform’. National Communications Conf. –NCC2012, Indian Institute of Technology, Kharagpur, India, 3–4 February 2012.
    6. 6)
    7. 7)
    8. 8)
      • 3. Seungheehan, J.h.l.: ‘An overview of peak-to-average power ratio reduction techniques for multicarrier transmission’. IEEE Wireless Communications, 2005, • 1536-1284/05, April 2005, pp. 5665.
    9. 9)
      • 1. Mahonen, A.J.P.: ‘Wavelet packet modulation for wireless communications’, Wirel. Commun. Mob. Comput. J., 2005, 5, (2), pp. 118.
    10. 10)
      • 6. Basumallick, N., Narasimhan, S.V.: ‘A discrete cosine adaptive harmonic wavelet packet and its application to signal compression’, J. Signal Inf. Process., 2010, 1, pp. 6376, doi:10.4236/jsip.2010.11007, Published Online November 2010.
    11. 11)
      • 13. Narasimhan, S.V., Basumallik, N., Veena, S.: ‘Introduction to wavelet transform: a signal processing approach’ (Narosa publications, 2011).
    12. 12)
      • 14. Zakaria, J., Salleh, M.F.M.: ‘Wavelet-based OFDM analysis: ‘BER performance and PAPR profile for various wavelets’. IEEE Symp. on Industrial Electronics and Applications, 23–26 September 2012, Bandung, Indonesia, pp. 2933.
    13. 13)
      • 7. Baro, M., Ilow, J.: ‘PAPR reduction in wavelet packet modulation using tree pruning’. 2007. IEEE explore-IEEE CCNC 2008 Proc.1-4244-1457-1/08© IEEE.
    14. 14)
      • 5. Park, M., Jun, H., Cho, J., Cho, N., Hong, D., Kang, C.: ‘PAPR reduction in OFDM transmission using Hadamard transform’ (IEEE xplore, 2000).
    15. 15)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com.2013.1103
Loading

Related content

content/journals/10.1049/iet-com.2013.1103
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address