Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

Frequency estimation via weighted multipoint interpolated DFT

Frequency estimation via weighted multipoint interpolated DFT

For access to this article, please select a purchase option:

Buy article PDF
£12.50
(plus tax if applicable)
Buy Knowledge Pack
10 articles for £75.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Name:*
Email:*
Your details
Name:*
Email:*
Department:*
Why are you recommending this title?
Select reason:
 
 
 
 
 
IET Science, Measurement & Technology — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

A Weighted multipoint interpolated discrete fourier transform (WMIpDFT) method for high accuracy frequency estimation of a multi-frequency signal component is presented. This method uses the maximum sidelobe decay windows. The relationships to estimate the frequency when an H-term maximum sidelobe decay window (H≥2) is used for (2J+1)-point interpolation (1≤JH+1) are given. The effectiveness of the method proposed was analysed by means of computer simulations for a multi-frequency signal without noise as well as with quantisation noise.

References

    1. 1)
      • T. Grandke . Interpolation algorithms for discrete fourier transforms of weighted signals. IEEE Trans. Instrum. Meas. , 2 , 350 - 355
    2. 2)
    3. 3)
      • S.L. Marple . (1987) Digital spectral analysis.
    4. 4)
      • D. Agrez . Weighted multipont interpolated DFT to improve amplitude estimation of multifrequency signal. IEEE Trans. Instrum. Meas. , 287 - 292
    5. 5)
      • D. Belega . The maximum sidelobe decay windows,. L'Académie Roumaine, Revue Roumaine des Sciences Téchniques – Série Electrotéchnique et Energétique , 349 - 356
    6. 6)
      • D. Belega , D. Dallet . (2007) Estimation the multifrequency signal parameters by interpolated DFT method with maximum sidelobe decay windows’. Accepted for publication to IDAACS'2007 Conf..
    7. 7)
    8. 8)
      • A.H. Nutall . Some windows with very good sidelobe behavior,. IEEE Trans. Acoust. Speech, Signal Process. , 1 , 84 - 91
    9. 9)
      • V.K. Jain , W.L. Collins , D.C. Davis . High-accuracy analog measuremets via interpolated FFT. IEEE Trans. Instrum. Meas. , 2 , 113 - 122
    10. 10)
      • V. Hütte . (1947) , Engineers Manual.
    11. 11)
      • C. Cosnita , F. Turtoiu . (1972) Problems of algebra.
    12. 12)
    13. 13)
      • D. Belega , D. Dallet . (2007) Multifrequency signal analysis by interpolated DFT method with maximum sidelobe windows. Submitted to Measurement, Journal of the International Measurement Confederation (IMEKO),.
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-smt_20070022
Loading

Related content

content/journals/10.1049/iet-smt_20070022
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address