Weak target detection in sea clutter based on fractional ambiguity function

被引：0
|
作者：
Guo H.-Y. [1 ]
Dong Y.-L. [2 ]
Guan J. [3 ]
机构：
[1] Department of Command, Naval Aeronautical and Astronautical University
[2] Department of Scientific Research, Naval Aeronautical and Astronautical University
[3] Department of Electronic and Information Engineering, Naval Aeronautical and Astronautical University
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2011年 / 33卷 / 06期
关键词：
Fractional ambiguity function; Fractional fourier transform; Inverse symmetry rotation angles;
D O I：
10.3969/j.issn.1001-506X.2011.06.03
中图分类号：
学科分类号：
摘要：
The fractional ambiguity function models with two symmetry inverse rotation angles of linear frequency modulation (LFM) signal, monochromatic signal and polynomial signal are researched. A conclusion is obtained: the fractional ambiguity function models with two symmetry inverse rotation angles of LFM signal and monochromatic signal are always the same. Based on this characteristic, a new method for detecting the signal which has high polynomial based on difference of fractional ambiguity function model is proposed. Experiment using the intelligent pixel-processing (IPIX) data shows that the proposed method has a remarkable advantage in increasing the signal-to-clutter ratio (SCR) and fractional ambiguity function model peak value difference. A proper detective threshold is set by introducing the biparametric constant false alarm rate, which makes the proposed method achieve better effects.
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页码：1212 / 1216
页数：4
相关论文
共 19 条
  • [1] Namias V., The fractional order Fourier transform and its application to quantum mechanics, Journal of Institute Applied Mathematics, 25, 3, pp. 241-265, (1980)
  • [2] Almeida L.B., The fractional Fourier transform and time-frequency representations, IEEE Trans. on Signal Processing, 42, 11, pp. 3084-3091, (1994)
  • [3] Ozaktas H.M., O'Kutay M.A., Bozdagi G., Digital computation of the fractional Fourier transform, IEEE Trans. on Signal Processing, 44, 9, pp. 2141-2150, (1996)
  • [4] Wang H.Y., Analysis and Processing of Non-Stationary Random Signal, (1999)
  • [5] Chen Z., Wang H.Y., Qiu T.S., The study of ambiguity function based on fractional Fourier transform, Signal Processing, 19, 6, pp. 499-502, (2003)
  • [6] Zhang X.D., Fu Q., Zhuang Z.W., Movement parameter estimation in high resolution range profile, Acta Electronica Sinica, 30, 3, pp. 386-389, (2002)
  • [7] Li W.C., Yang J.Y., Huang Y.L., Et al., High order Doppler parameter estimation of the bistatic forward-looking SAR based on CPF-radon transform, Proc. of the IEEE 10th International Conference on Signal Processing, pp. 2239-2241, (2010)
  • [8] Qazi S., Georgakis A., Stergioulas L.K., Et al., Interference suppression in the wigner distribution using fractional Fourier transform and signal synthesis, IEEE Trans. on Signal Processing, 55, 6, pp. 3150-3161, (2007)
  • [9] Alieva T., Bastiaans M.J., Wigner distribution and fractional Fourier transform, Proc. of the International Symposium on Signal Processing and its Applications, pp. 168-169, (2001)
  • [10] Tao R., Li B.Z., Wang Y., Spectral analysis and reconstruction for periodic nonuniformly sampled signals in fractional Fourier domain, IEEE Trans. on Signal Processing, 55, 7, pp. 3541-3546, (2007)
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