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Article Navigation >  Journal of University of Electronic Science and Technology of China  > 2012  >  41(2): 192-197

DU Zheng-cong, ZHU Jun, TANG Bin. Detection and Fast Frequency Estimation of Multi-Component Sinusoidal Signals Using Approximate Kernel DFT[J]. Journal of University of Electronic Science and Technology of China, 2012, 41(2): 192-197. doi: 10.3969/j.issn.1001-0548.2012.02.004
Citation: DU Zheng-cong, ZHU Jun, TANG Bin. Detection and Fast Frequency Estimation of Multi-Component Sinusoidal Signals Using Approximate Kernel DFT[J]. Journal of University of Electronic Science and Technology of China, 2012, 41(2): 192-197. doi: 10.3969/j.issn.1001-0548.2012.02.004
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Detection and Fast Frequency Estimation of Multi-Component Sinusoidal Signals Using Approximate Kernel DFT

doi: 10.3969/j.issn.1001-0548.2012.02.004
  • 1.

    School of Electronic Engineering,University of Electronic Science and Technology of China Chengdu 611731;

  • 2.

    School of Information and Electric Engineering,Panzhihua University Panzhihua Sichuan 617000

  • Received Date: 2009-06-15
  • Rev Recd Date: 2011-12-16
  • Publish Date: 2012-04-15
  • By using the approximate kernel DFT, an improved algorithm for detection and frequency estimation of multi-component sinusoidal signals is presented. A term for correct the frequency is constructed by using the real parts or the imaginary parts of the approximate kernel DFT coefficients, and a robust unsupervised threshold for detecting sinusoidal signals formed by using the ratio of the maximum value to median value of real parts or imaginany parts. The algorithm avoids the complex operations in the traditional correction and detection algorithms. Besides, a hardware implementation scheme, approximate kernel FFT is introduced and detection of the chirp signal is studied using the approximate kernel FFT as well. Examples are provided to illustrate the effectiveness of the presented algorithm.
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Detection and Fast Frequency Estimation of Multi-Component Sinusoidal Signals Using Approximate Kernel DFT

doi: 10.3969/j.issn.1001-0548.2012.02.004
  • 1. School of Electronic Engineering,University of Electronic Science and Technology of China Chengdu 611731;
  • 2. School of Information and Electric Engineering,Panzhihua University Panzhihua Sichuan 617000
  • Received Date: 2009-06-15
  • Rev Recd Date: 2011-12-16
  • Publish Date: 2012-04-15

Abstract: By using the approximate kernel DFT, an improved algorithm for detection and frequency estimation of multi-component sinusoidal signals is presented. A term for correct the frequency is constructed by using the real parts or the imaginary parts of the approximate kernel DFT coefficients, and a robust unsupervised threshold for detecting sinusoidal signals formed by using the ratio of the maximum value to median value of real parts or imaginany parts. The algorithm avoids the complex operations in the traditional correction and detection algorithms. Besides, a hardware implementation scheme, approximate kernel FFT is introduced and detection of the chirp signal is studied using the approximate kernel FFT as well. Examples are provided to illustrate the effectiveness of the presented algorithm.

DU Zheng-cong, ZHU Jun, TANG Bin. Detection and Fast Frequency Estimation of Multi-Component Sinusoidal Signals Using Approximate Kernel DFT[J]. Journal of University of Electronic Science and Technology of China, 2012, 41(2): 192-197. doi: 10.3969/j.issn.1001-0548.2012.02.004
Citation: DU Zheng-cong, ZHU Jun, TANG Bin. Detection and Fast Frequency Estimation of Multi-Component Sinusoidal Signals Using Approximate Kernel DFT[J]. Journal of University of Electronic Science and Technology of China, 2012, 41(2): 192-197. doi: 10.3969/j.issn.1001-0548.2012.02.004
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