臺灣博碩士論文加值系統

由於現今無線通訊裝置日趨普遍，頻譜成了寶貴的資源，如何提高頻譜使用效率是現今通訊重要的議題。部分響應訊號為頻譜有限訊號，因為可以達到最大的頻譜使用效率，而被廣泛的應用及研究。由於頻譜有限訊號在時域上為無限長的脈波，因此不適用於叢發傳輸。
在此篇論文，我們結合多載波調變以及先前提出的正交多速率調變提出了多載波正交多速率調變系統，藉由設計數位濾波器，可以使的正交多速率調變訊號擁有能量集中的特性，如此一來，在實做上，若使用截波訊號來取代原訊號也不會造成太大的失真，且可適用於叢發傳輸。
此外，我們針對正交多速率調變訊號的能量分布特性提出兩種截波方法，為了降低實做的複雜度，我們也提出了高效能的架構。

With the increasing number of wireless communication devices, bandwidth becomes the
precious resource. How to improve the bandwidth ef ciency is the important issue. Partial
response (PR) signaling is bandlimited signaling. Because PR signaling can achieve maximum
bandwidth ef ciency, PR signaling is widely applied to the wireless communication.
However, because the impulse response of the bandlimited signal is in nite, it is not suitable
for the burst transmission and low latency scenarios.
In this thesis, we propose the multicarrier orthogonal multirate (MC-OMR) modulation
which combines multicarrier modulation and OMR modulation which has been proposed.
The MC-OMR waveform can have high energy compactness by designing the digital lter.
By doing so, in practice, if the transmitted waveform is the truncation version of the
MC-OMR waveform, the impact of the truncation on the data loss will be less signi cant.
Therefore, the MC-OMR is suitable for the burst transmission.
Moreover, according to the energy distribution property of MC-OMR signal, we propose
the two truncation methods. In order to decrease the implementation complexity, we propose
the ef cient structure of MC-OMR system.

Abstract i
Contents ii
List of Figures iii
1 Introduction 1
1.1 Multicarrier Modulation . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1
1.2 Partial Response Signaling . . . . . . . . . . . . . . . . . . . . . . . . . . . 2
1.3 Filter Bank Multicarrier Modulation . . . . . . . . . . . . . . . . . . . . . . 3
1.4 Thesis Motivation, Overview and Contributions . . . . . . . . . . . . . . . . 4
1.5 Notations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5
2 MC-OMR Signal Model 6
2.1 Ideal MC-OMR Modulator . . . . . . . . . . . . . . . . . . . . . . . . . . . 6
2.2 Realizable Modulator Design . . . . . . . . . . . . . . . . . . . . . . . . . . 11
2.3 Ideal MC-OMR Demodulator . . . . . . . . . . . . . . . . . . . . . . . . . . 14
2.4 Simulation Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 23
3 Realizable System Structure 27
3.1 Energy Compactness . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27
3.2 Block Truncated MC-OMR Waveform . . . . . . . . . . . . . . . . . . . . . 29
3.3 Pulse Truncated MC-OMR Waveform . . . . . . . . . . . . . . . . . . . . . 30
3.4 Realizable MC-OMR Demodulator . . . . . . . . . . . . . . . . . . . . . . . 32
3.5 Simulation Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35
4 Ef cient System Structure 39
4.1 Ef cient Modulator Structure . . . . . . . . . . . . . . . . . . . . . . . . . . 39
4.2 Ef cient Demodulator Structure . . . . . . . . . . . . . . . . . . . . . . . . 44
4.3 Simulation Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 45
5 Conclusion 55
Bibliography 57

[1] J. A. Bingham, “Multicarrier modulation for data transmission: an idea whose time has
come,” IEEE Commun. Mag., vol. 28, no. 5, pp. 5-14, May 1990.
[2] A. Lender, “The duobinary technique for high speed data transmission,” IEEE Trans.
Commun. Electron., vol. 82, pp. 213-218, May 1963.
[3] H. Kobayashi, “Correlative level coding and maximum-likelihood decoding,” IEEE
Trans. Inform. Theory, vol. 17, pp. 586-594, Sep. 1971.
[4] R. D. Gitlin, J. F. Hayes and S. B. Weinstein, Data Communications Principles. New
York: Plenum, 1992.
[5] J. G. Proakis and M. Salehi, Digital Communications, 5th ed. New York: McGraw-Hill,
2008.
[6] C.-D. Chung and W.-C. Chen, “Orthogonal multirate modulation,” IEEE Trans. Com-
mun., vol. 60, pp. 30-36, Jan. 2002.
[7] H. B. Peek, “Multirate modulation: A bandwidth- and power-ef cient modulation
scheme,” IEEE Trans. Commun., vol. 53, no. 10, pp. 1679-1687, Oct. 2005.
[8] J. B. H. Peek, “Multirate block codes,” in Proc. 20th Symp. Inf. Theory Benelux, Hassrode,
Belgium, pp. 205-213, 1999.
[9] A. V. Oppenheim and R. W. Schafer, Discrete-Time Signal Processing, 3rd ed. Pearson
Prentice Hall, 2010.
[10] B. Farhang-Boroujeny, “OFDM versus lter bank multicarrier,” IEEE Signal Process.
Mag., vol. 28, no. 3, pp. 92–112, May 2011.
[11] S. Fechtel and A. Blaickner, “Ef cient FFT and equalizer implementation for OFDM
receivers,” IEEE Trans. Consum. Electron., vol. 45, no. 4, pp. 1104–1107, Nov 1999.
[12] J. Van De Beek and F. Berggren, “Out-of-band power suppression in OFDM,” IEEE
Commun. Lett., vol. 12, no. 9, pp. 609-611, Sep. 2008.
[13] R. A. Horn and C. R. Johnson, Matrix Analysis, Cambridge University Press, 1985.
[14] C.-D. Chung, “Orthogonally-multiplexed orthogonal amplitude modulation family,”
IEEE Trans. Commun., vol. 50, pp. 415-428, Mar. 2002.
[15] Y.-S. Wang and C.-D. Chung, “Closed-form expressions for orthogonal tail-decaying
precoders,” unpublished report, National Taiwan University, 2012.
[16] A, Papoulis and S. U. Pillai, Probability, Random Variables and Stochastic Processes,
4th ed. New York: McGraw Hill, 2002.
[17] Lin, Yuan-Pei, See-May Phoong, and P. P. Vaidyanathan. Filter bank transceivers for
OFDM and DMT systems. Cambridge University Press, 2010.
[18] W. Davenport andW. Root, An Introduction to the Theory of Random Signals and Noise.
New York: McGraw Hill, 1958.