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Analysis of Weighted Fractional Fourier Transform Based Hybrid Carrier Signal Characteristics

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Abstract

Recently, a weighted fractional Fourier transform (WFRFT) based hybrid carrier (HC) system has been proposed, which can converge single-carrier (SC) and multi-carrier (MC) systems. The cost and power dissipation of analog components often dominate in practical HC systems. Therefore, in this paper, we analyze the baseband HC signal characteristics, including average signal power, power spectral density (PSD), probability density function (PDF), peak-to-average power ratio (PAPR), and complementary cumulative distribution function (CCDF), using a continuous-time HC signal approximation method. Through theoretical analysis and simulation validation, it is proved that the approximation method does not change the average signal power, bandwidth and out-of-band emission (OOBE). The theoretical PDF expression of HC signal with the approximation method is then proposed. Furthermore, the PDF can also explain why the PAPR of baseband continuous-time HC signal is higher than that of discrete-time HC signal. The PAPR performance and the power amplifier (PA) efficiency of HC systems in different conditions are analyzed. Through the PDF analysis of HC signal envelope and the numerical computations of PAPR, it is shown that the approximation method can offer a precise characteristic description for HC signal, which can help to improve the system PAPR performance and the PA efficiency.

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References

  1. NAMIAS V. The fractional order Fourier transform and its application to quantum mechanics [J]. IMA Journal of Applied Mathematics, 1980, 25(3): 241–265.

    Article  MathSciNet  Google Scholar 

  2. WHITE P R, LOCKE J. Performance of methods based on the fractional Fourier transform for the detection of linear frequency modulated signals [J]. IET Signal Processing, 2012, 6(5): 478–483.

    Article  MathSciNet  Google Scholar 

  3. LU G K, XIAO M L, WEI P, et al. Circularity of the fractional Fourier transform and spectrum kurtosis for LFM signal detection in Gaussian noise model [J]. IEICE Transactions on Fundamentals of Electronics Communications and Computer Sciences, 2015, E98-A(12): 2709–2712.

    Article  Google Scholar 

  4. LU M F, ZHANG F, TAO R, et al. Parameter estimation of optical fringes with quadratic phase using the fractional Fourier transform [J]. Optics and Lasers in Engineering, 2015, 74: 1–16.

    Article  Google Scholar 

  5. ZHAO Y B, YU H, WEI G, et al. Parameter estimation of wideband underwater acoustic multipath channels based on fractional Fourier transform [J]. IEEE Transactions on Signal Processing, 2016, 64(20): 5396–5408.

    Article  MathSciNet  Google Scholar 

  6. WU J M, LU M F, TAO R, et al. Improved FRFT-based method for estimating the physical parameters from Newton’s rings [J]. Optics and Lasers in Engineering, 2017, 91: 178–186.

    Article  Google Scholar 

  7. WEI D Y, LI Y M. Generalized sampling expansions with multiple sampling rates for lowpass and bandpass signals in the fractional Fourier transform domain [J]. IEEE Transactions on Signal Processing, 2016, 64(18): 4861–4874.

    Article  MathSciNet  Google Scholar 

  8. LIU N, TAO R, WANG R, et al. Signal reconstruction from recurrent samples in fractional Fourier domain and its application in multichannel SAR [J]. Signal Processing, 2017, 131: 288–299.

    Article  Google Scholar 

  9. ZHANG F, HU Y, TAO R, et al. New fractional matrix with its applications in image encryption [J]. Optics and Laser Technology, 2014, 64(4): 82–93.

    Article  Google Scholar 

  10. SUI L S, LU H W, NING X J, et al. Asymmetric double-image encryption method by using iterative phase retrieval algorithm in fractional Fourier transform domain [J]. Optical Engineering, 2014, 53(2): 026108.

    Article  Google Scholar 

  11. SHIH C C. Fractionalization of Fourier transform [J]. Optics Communications, 1995, 118: 495–498.

    Article  Google Scholar 

  12. MEI L, SHA X J, ZHANG N T. The approach to carrier scheme convergence based on 4-weighted fractional Fourier transform [J]. IEEE Communications Letters, 2010, 14(6): 503–505.

    Article  Google Scholar 

  13. MEI L, ZHANG Q Y, SHA X J, et al. WFRFT precoding for narrowband interference suppression in DFTbased block transmission systems [J]. IEEE Communications Letters, 2013, 17(10): 1916–1919.

    Article  Google Scholar 

  14. WANG K, SHA X J, LI Y. Hybrid carrier modulation with time-domain windows and iterative equalization over underwater acoustic channels [J]. IEEE Communications Letters, 2013, 17(8): 1489–1492.

    Article  Google Scholar 

  15. LI Y, SHA X J, WANG K. Hybrid carrier communication with partial FFT demodulation over underwater acoustic channels [J]. IEEE Communications Letters, 2013, 17(12): 2260–2263.

    Article  Google Scholar 

  16. CHEN Q, SUN H X, QI J, et al. Application of weighted fractional Fourier transform in hybrid system [J]. Journal of Harbin Institute of Technology, 2016, 48(5): 100–104 (in Chinese).

    MATH  Google Scholar 

  17. HUI Y T, LI B B, TONG Z. 4-weighted fractional Fourier transform over doubly selective channels and optimal order selecting algorithm [J]. Electronics Letters, 2015, 51(2): 177–179.

    Article  Google Scholar 

  18. FANG X J, ZHANG N, ZHANG S, et al. On physical layer security: Weighted fractional Fourier transform based user cooperation [J]. IEEE Transactions on Wireless Communications, 2017, 16(8): 5498–5510.

    Article  Google Scholar 

  19. WANG Z D, MEI L, WANG X L, et al. Bit error rate analysis of generalised frequency division multiplexing with weighted-type fractional Fourier transform precoding [J]. IET Communications, 2017, 11(6): 916–924.

    Article  Google Scholar 

  20. WANG Z D, MEI L, WANG X L, et al. On the performance of hybrid carrier system with spectrum precoding based on WFRFT [J]. EURASIP Journal on Wireless Communications and Networking, 2017, 2017: 102.

    Article  Google Scholar 

  21. JIANG T, WU Y Y. An overview: Peak-to-average power ratio reduction techniques for OFDM signals [J]. IEEE Transactions on Broadcasting, 2008, 54(2): 257–268.

    Article  Google Scholar 

  22. WANG X L, MEI L, ZHANG N T, et al. PAPR approximation of continuous-time WFRFT signals [C]//2014 IEEE International Conference on Communication Systems. Macau, China: IEEE, 2015: 303–307.

    Google Scholar 

  23. QU D M, DING J, JIANG T, et al. Detection of noncontiguous OFDM symbols for cognitive radio systems without out-of-band spectrum synchronization [J]. IEEE Transactions on Wireless Communications, 2011, 10(2): 693–701.

    Article  Google Scholar 

  24. WANG Y C, LUO Z Q. Optimized Iterative clipping and filtering for PAPR reduction of OFDM signals [J]. IEEE Transactions on Communications, 2011, 59(1): 33–37.

    Article  Google Scholar 

  25. LI Y, SHA X J, ZHENG F C, et al. Low complexity equalization of HCM systems with DPFFT demodulation over doubly-selective Channels [J]. IEEE Signal Processing Letters, 2014, 21(7): 862–865.

    Article  Google Scholar 

  26. HU L N, JIANG L G, HE C, et al. Watermark in the digital video broadcasting handheld transmission signal [J]. Journal of Shanghai Jiao Tong University (Science), 2009, 14(2): 149–153.

    Article  Google Scholar 

  27. OPPENHEIM A V, SCHAFER R W, BUCK J R. Discrete-time signal processing [M]. 2nd ed. Upper Saddle River, New Jersey, USA: Prentice-Hall, 1999.

    Google Scholar 

  28. STOICA P, MOSES R L. Spectral analysis of signals [M]. Upper Saddle River, New Jersey, USA: Prentice- Hall, 2005.

    Google Scholar 

  29. WANG X L, MEI L, WANG Z D, et al. On the probability density function of the real and imaginary parts in WFRFT signals [J]. China Communications, 2016, 13(9): 44–52.

    Article  Google Scholar 

  30. WEI S Q, GOECKEL D L, KELLY P A. Convergence of the complex envelope of bandlimited OFDM signals [J]. IEEE Transactions on Information Theory, 2010, 56(10): 4893–4904.

    Article  MathSciNet  Google Scholar 

  31. TABOGA M. Lectures on probability theory and mathematical statistics [M]. 2nd ed. North Charleston, USA: CreateSpace Independent Publishing, 2012.

    Google Scholar 

  32. RAHMATALLAH Y, MOHAN S. Peak-to-average power ratio reduction in OFDM systems: A survey and taxonomy [J]. IEEE Communications Surveys & Tutorials, 2013, 15(4): 1567–1592.

    Article  Google Scholar 

  33. CRIPPS S C. RF power amplifiers for wireless communications [M]. 2nd ed. Norwood, USA: Artech House, 2006.

    Google Scholar 

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Correspondence to lin Mei  (梅 林).

Additional information

Foundation item: the National Natural Science Foundation of China (No. 61671179), the National Basic Research Program of China (No. 2013CB329003), and the Funding of Science and Technology on Communication Networks Laboratory

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Wang, X., Mei, l., Wang, Z. et al. Analysis of Weighted Fractional Fourier Transform Based Hybrid Carrier Signal Characteristics. J. Shanghai Jiaotong Univ. (Sci.) 25, 27–36 (2020). https://doi.org/10.1007/s12204-020-2156-5

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  • DOI: https://doi.org/10.1007/s12204-020-2156-5

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