Performance analysis on Lv distribution and its applications

  • Authors:

  • Shan Luo;Guoan Bi;Xiaolei Lv;Fengye Hu

  • Affiliations:

  • School of EEE, Nanyang Technological University, 50 Nanyang Avenue, Singapore;School of EEE, Nanyang Technological University, 50 Nanyang Avenue, Singapore;Department of Civil and Environmental Engineering, Rensselaer Polytechnic Institute, Troy, NY, USA;College of Communication Engineering, Jilin University, Changchun 130025, China

  • Venue:
  • Digital Signal Processing
  • Year:
  • 2013

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Abstract

A new signal analysis method, known as Lv distribution (LVD), has been reported recently to provide improved estimation accuracy of centroid frequency and chirp rate. In this paper, performances of the LVD on signal concentration, detection, representation errors and computational complexity are discussed and compared with polynomial Fourier transform (PFT) and fractional Fourier transform (FrFT). Based on the results of our theoretical analysis and Monte Carlo simulations, it is shown that the LVD achieves desirable performance improvement compared with those achieved by other methods. By using the accurate estimation of chirp rate provided by the LVD, the performance of local polynomial periodogram (LPP) is investigated. Comparisons with other time-frequency representations, such as the inverse LVD (ILVD) and the PFT-based LPP, are made on signal concentration in the time-frequency domain.