LFM pulse compression based on Pei sampling-type DFRFT algorithm

被引：0
|
作者：
Graduate Students' Brigade, Naval Aeronautical and Astronautical University, Yantai Shandong 264001, China [1 ]
不详 [2 ]
机构：
[1] Graduate Students' Brigade, Naval Aeronautical and Astronautical University
[2] Dept. of Electronic and Information Engineering, Naval Aeronautical and Astronautical University
来源：
Yin, D.-Q. | 1600年 / Univ. of Electronic Science and Technology of China卷 / 42期
关键词：
Digital signal processing; Discrete fractional Fourier transform; Doppler shift; Linear frequency-modulated pulse; Pulse compression;
D O I：
10.3969/j.issn.1001-0548.2013.02.009
中图分类号：
学科分类号：
摘要：
Based on Pei sampling-type DFRFT algorithm, a novel method of linear frequency-modulated pulse compression is proposed. Through zero padding and prolongation, the time delay estimation of linear frequency-modulated (LFM) pulse is transformed into the center frequency estimation. In this way, the result approximate to the conventional LFM pulse compression can be obtained by utilizing the LFM pulse energy concentration of fractional Fourier transform. The analytic expression of discrete range-finding estimator is derived and the corresponding dispersion accuracy and the influence of Doppler shift are analyzed. It is found that the proposed method has strong robustness on Doppler shift, and reduces the computation complexity by half without the decline of range-finding accuracy. The simulations prove the above-mentioned theories.
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页码：225 / 228
页数：3
相关论文
共 12 条
  • [1] Ding L.-F., Geng F.-L., Chen J.-C., Radar Theory, (2009)
  • [2] Cumming I.G., Wong F.H., Digital Processing of Synthetic Aperture Radar Data: Algorithms and Implementation, (2007)
  • [3] Tao R., Deng B., Wang Y., Fractional Fourier Transform and Its Applications, (2009)
  • [4] Ran Q.-W., An Introduction to Fractional Fourier Optics, (2004)
  • [5] Ozaktas H.M., Kutay M.A., Zalevsky Z., The Fractional Fourier Transform with Applications in Optics and Signal Processing, (2000)
  • [6] Almeida L.B., The fractional Fourier transform and time-frequency representations, IEEE Trans Signal Processing, 42, 11, pp. 3084-3091, (1994)
  • [7] Qi L., Tao R., Zhou S.-Y., Et al., Detection and paramter estimation of multicomponent LFM signal based on the fractional Fourier transform, Science in China (Ser F, Information Science), 47, 2, pp. 184-198, (2004)
  • [8] Tao R., Zhang F., Wang Y., Research progress on discretization of fractional Fourier transform, Science in China (Ser F, Information Science), 51, 7, pp. 859-880, (2008)
  • [9] Sejdic E., Djurovic I., Stankovic L., Fractional Fourier transform as a signal processing tool: An overview of recent developments, Signal Processing, 91, pp. 1351-1369, (2011)
  • [10] Tao R., Deng B., Wang Y., Research progress of the fractional Fourier transform in signal processing, Science in China (Ser F, Information Science), 49, 1, pp. 1-25, (2006)
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