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Volume 29 Issue 3
Jan.  2011
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Li Jia-qiang, Jin Rong-hong, Geng Jun-ping, Fan Yu, Mao Wei . Detection and Estimation of Multi-component LFM Signals Based on Gauss Short-Time Fractional Fourier Transform[J]. Journal of Electronics & Information Technology, 2007, 29(3): 570-573. doi: 10.3724/SP.J.1146.2005.00857
Citation: Li Jia-qiang, Jin Rong-hong, Geng Jun-ping, Fan Yu, Mao Wei . Detection and Estimation of Multi-component LFM Signals Based on Gauss Short-Time Fractional Fourier Transform[J]. Journal of Electronics & Information Technology, 2007, 29(3): 570-573. doi: 10.3724/SP.J.1146.2005.00857

Detection and Estimation of Multi-component LFM Signals Based on Gauss Short-Time Fractional Fourier Transform

doi: 10.3724/SP.J.1146.2005.00857
  • Received Date: 2005-07-18
  • Rev Recd Date: 2006-09-18
  • Publish Date: 2007-03-19
  • Based on fractional wave packet transform, a new hybrid time-frequency transform: Gauss Short-time Fractional Fourier Transform (GSFrFT) is proposed for the detection and estimation of Linear Frequency-Modulated (LFM) signals. Multiple LFM signals can be detected in low SNR by choosing the rotated angle and cross-items can be avoided. Analytical expression of the transform result is given. The simulation results also show that the GSFrFT is valid.
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