A Multi-Component LFM Signal Parameters Estimation Method Using STFT and Zoom-FRFT

被引：0
作者：
Ding, Yongfei [1 ]
Sun, Le [2 ]
Zhang, Hengyang [2 ]
Zheng, Bo [2 ]
机构：
[1] China Natl Aeronaut Radio Elect, Res Inst, Shanghai, Peoples R China
[2] Air Force Engn Univ, Informat & Nav Inst, Xian, Peoples R China
来源：
PROCEEDINGS OF 2016 8TH IEEE INTERNATIONAL CONFERENCE ON COMMUNICATION SOFTWARE AND NETWORKS (ICCSN 2016) | 2016年
关键词：
short time Fourier transform; Zoom-FRFT; window; band-width; optimal order; FRACTIONAL FOURIER-TRANSFORM;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Traditional parameters estimation methods for the Multi-component Linear Frequency Modulation (MLFM) signal based on Fractional Fourier Transform (FRFT) could not achieve the satisfactory precision and the lesser computation cost. In this paper, we propose a new method combining the Short Time Fourier Transform (STFT) and Zoom-FRFT, to estimate the MLFM signal parameters. Firstly, the coarse estimation can be achieved from the straight line detection of short time Fourier spectrum. Then, we could calculate the analysis range of transform order and Fractional domain spectrum by the FRFT domain spectrum distribution characteristics of interference signal. Finally, we can estimate the optimal order and precise peak position by the optimum seeking method in the Zoom-FRFT domain. The simulation results show that, this method can improve both the parameters estimation precision and the computation cost significantly, and can flexibly choose the window width and the zoom times.
引用
收藏
页码：112 / 117
页数：6
相关论文
共 13 条
  • [1] [Anonymous], 1992, P IEEE
  • [2] Ayaz O., 2011, 2011 IEEE 19th Signal Processing and Communications Applications Conference (SIU 2011), P1077, DOI 10.1109/SIU.2011.5929841
  • [3] Fang Zhang, 2010, Proceedings 2010 First International Conference on Pervasive Computing, Signal Processing and Applications (PCSPA 2010), P582, DOI 10.1109/PCSPA.2010.146
  • [4] Transform domain communication systems from a multidimensional perspective, impacts on bit error rate and spectrum efficiency
    Fumat, G.
    Charge, P.
    Zoubir, A.
    Fournier-Prunaret, D.
    [J]. IET COMMUNICATIONS, 2011, 5 (04) : 476 - 483
  • [5] Howard AntonC.R.:., 2005, Elementary_Linear_Algebra, chapter 1
  • [6] The fractional Fourier transform: theory, implementation and error analysis
    Narayanan, VA
    Prabhu, KMM
    [J]. MICROPROCESSORS AND MICROSYSTEMS, 2003, 27 (10) : 511 - 521
  • [7] Detection and parameter estimation of multicomponent LFM signal based on the fractional Fourier transform
    Qi, L
    Tao, R
    Zhou, SY
    Wang, Y
    [J]. SCIENCE IN CHINA SERIES F-INFORMATION SCIENCES, 2004, 47 (02): : 184 - 198
  • [8] Basis Function and PN Phase Generation in TDCS and WDCS towards Dynamic Spectrum Access
    Sharma, Mrinal
    Gupta, Rajan
    [J]. 2015 FIFTH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS AND NETWORK TECHNOLOGIES (CSNT2015), 2015, : 364 - 368
  • [9] Song J., 2012, P INT C INF TECHN SO, P41
  • [10] Wang Chuandan, 2007, Journal of Electronics (China), V24, P181, DOI 10.1007/s11767-006-0109-2
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