Wavelet packet division multiplexing and wavelet packet design under timing error effects

Wavelet packet division multiplexing (WPDM) is a multiple signal transmission technique in which the message signals are waveform coded onto wavelet packet basis functions for transmission. The overlapping nature of such waveforms in time and frequency provides a capacity improvement over the commonly used frequency division multiplexing (FDM) and time division multiplexing (TDM) schemes while their orthogonality properties ensure that the overlapping message signals can be separated by a simple correlator receiver. The interference caused by timing offset in transmission is examined. A design procedure that exploits the inherent degrees of freedom in the WPDM structure to mitigate the effects of timing error is introduced, and a waveform that minimizes the energy of the timing error interference is designed. An expression for the probability of error due to the presence of Gaussian noise and timing error for the transmission of binary data is derived. The performance advantages of the designed waveform over standard wavelet packet basis functions are demonstrated by both analytical and simulation methods. The capacity improvement of WPDM, its simple implementation, and the possibility of having optimum waveform designs indicate that WPDM holds considerable promise as a multiple signal transmission technique.

[1]  L. E. Franks,et al.  Signal theory , 1969 .

[2]  C.-E. Sundberg,et al.  Continuous phase modulation , 1986, IEEE Communications Magazine.

[3]  I. Daubechies,et al.  On the instability of arbitrary biorthogonal wavelet packets , 1993 .

[4]  Richard S. Orr,et al.  Wavelet transform domain communication systems , 1995, Defense, Security, and Sensing.

[5]  M. Vetterli,et al.  Wavelets, subband coding, and best bases , 1996, Proc. IEEE.

[6]  M. C. Tzannes,et al.  Bit-by-bit channel coding using wavelets , 1992, [Conference Record] GLOBECOM '92 - Communications for Global Users: IEEE.

[7]  I. Daubechies Orthonormal bases of compactly supported wavelets , 1988 .

[8]  P. P. Gandhi,et al.  On waveform coding using wavelets , 1993, Proceedings of 27th Asilomar Conference on Signals, Systems and Computers.

[9]  O. Rioul,et al.  Wavelets and signal processing , 1991, IEEE Signal Processing Magazine.

[10]  Jelena Kovacevic,et al.  Wavelets and Subband Coding , 2013, Prentice Hall Signal Processing Series.

[11]  G. MallatS. A Theory for Multiresolution Signal Decomposition , 1989 .

[12]  Qu Jin,et al.  Multiplexing based on wavelet packets , 1995, Defense, Security, and Sensing.

[13]  G. Battle A block spin construction of ondelettes Part II: The QFT connection , 1988 .

[14]  Alan R. Lindsey Multidimensional signaling via wavelet packets , 1995, Defense, Security, and Sensing.

[15]  Michael A. Tzannes,et al.  Overlapped Discrete Multitone Modulation for High Speed Copper Wire Communication , 2006, IEEE J. Sel. Areas Commun..

[16]  Wim Sweldens,et al.  An Overview of Wavelet Based Multiresolution Analyses , 1994, SIAM Rev..

[17]  Jiangfeng Wu,et al.  Wavelet Packet Division Multiplexing , 1998 .

[18]  Naoki Saito,et al.  Multiresolution representations using the autocorrelation functions of compactly supported wavelets , 1993, IEEE Trans. Signal Process..

[19]  Y. Meyer,et al.  Wavelets and Filter Banks , 1991 .

[20]  Martin Vetterli,et al.  Wavelets and filter banks: theory and design , 1992, IEEE Trans. Signal Process..

[21]  L. Franks,et al.  Carrier and Bit Synchronization in Data Communication - A Tutorial Review , 1980, IEEE Transactions on Communications.

[22]  Gilbert Strang,et al.  Wavelets and Dilation Equations: A Brief Introduction , 1989, SIAM Rev..

[23]  G. Walter Wavelets and other orthogonal systems with applications , 1994 .

[24]  B. P. Lathi,et al.  Modern Digital and Analog Communication Systems , 1983 .

[25]  Gary J. Saulnier,et al.  Optimized perfect reconstruction quadrature mirror filter (PR-QMF) based codes for multi-user communications , 1995, Defense, Security, and Sensing.

[26]  Alan S. Willsky,et al.  Wavelet-packet-based multiple-access communication , 1994, Optics & Photonics.

[27]  Bernard Sklar,et al.  Digital communications , 1987 .

[28]  Philip E. Gill,et al.  Practical optimization , 1981 .

[29]  Gregory W. Wornell Emerging applications of multirate signal processing and wavelets in digital communications , 1996 .

[30]  J.E. Mazo,et al.  Digital communications , 1985, Proceedings of the IEEE.

[31]  C. Campbell Surface Acoustic Wave Devices and Their Signal Processing Applications , 1989 .

[32]  G. Battle A block spin construction of ondelettes. Part I: Lemarié functions , 1987 .

[33]  Ingrid Daubechies,et al.  Ten Lectures on Wavelets , 1992 .

[34]  Amara Lynn Graps,et al.  An introduction to wavelets , 1995 .

[35]  Stéphane Mallat,et al.  A Theory for Multiresolution Signal Decomposition: The Wavelet Representation , 1989, IEEE Trans. Pattern Anal. Mach. Intell..

[36]  Qu Jin,et al.  Performance of wavelet packet division multiplexing in timing errors and flat fading channels , 1996 .

[37]  R. Haddad,et al.  Multiresolution Signal Decomposition: Transforms, Subbands, and Wavelets , 1992 .

[38]  D. Cochran,et al.  Scale based coding of digital communication signals , 1992, [1992] Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis.

[39]  Qu Jin,et al.  Performance of wavelet-packet division multiplexing in impulsive and Gaussian noise channels , 1996, Optics & Photonics.

[40]  S. Leigh,et al.  Probability and Random Processes for Electrical Engineering , 1989 .

[41]  Tunc Geveci,et al.  Advanced Calculus , 2014, Nature.

[42]  I. Daubechies,et al.  Biorthogonal bases of compactly supported wavelets , 1992 .

[43]  M. Wickerhauser,et al.  Wavelets and time-frequency analysis , 1996, Proc. IEEE.

[44]  Ronald R. Coifman,et al.  Entropy-based algorithms for best basis selection , 1992, IEEE Trans. Inf. Theory.

[45]  Gregory W. Wornell,et al.  Wavelet-based representations for a class of self-similar signals with application to fractal modulation , 1992, IEEE Trans. Inf. Theory.

[46]  I. Daubechies Orthonormal bases of compactly supported wavelets II: variations on a theme , 1993 .

[47]  A. Cohen,et al.  Wavelets: the mathematical background , 1996, Proc. IEEE.