Performance analysis on Lv distribution and its applications

详细信息    查看全文

• 作者：Shan Luo^a ; ^{luos0003@e.ntu.edu.sg}Author Vitae ; Guoan Bi^a ; ^{egbi@ntu.edu.sg}Author Vitae ; Xiaolei Lv^b ; ^{lvskyhorse@gmail.com}Author Vitae ; Fengye Hu^c ; ^{hufy@jlu.edu.cn}Author Vitae
• 关键词：Lv distribution ; Signal distribution concentration ; Signal detection ; Local polynomial periodogram
• 刊名：Digital Signal Processing
• 出版年：2013
• 出版时间：May, 2013
• 年：2013
• 卷：23
• 期：3
• 页码：797-807
• 全文大小：956 K

文摘

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.