Improving the Speed of a Class of Single Frequency Estimation Algorithms

Recently, a class of recursive algorithms for single frequency estimation has been developed based on the rotate-add-decimate (RAD) method. The computational bottleneck of the RAD approach is the calculation of the arctangent function required to create a frequency estimate at the end of each recurs...

Full description

Saved in:
Bibliographic Details
Published in2007 IEEE Region 5 Technical Conference pp. 246 - 248
Main Author Reinking, J.T.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.04.2007
Subjects
Additive white noise
Discrete Fourier transforms
Frequency estimation
Iterative methods
Maximum likelihood estimation
Performance gain
Radar signal processing
Recursive estimation
Signal processing algorithms
Springs
Online AccessGet full text

Cover

More Information
Summary:Recently, a class of recursive algorithms for single frequency estimation has been developed based on the rotate-add-decimate (RAD) method. The computational bottleneck of the RAD approach is the calculation of the arctangent function required to create a frequency estimate at the end of each recursion. This work demonstrates speed gains are possible with minimal loss in mean squared-error (MSE) performance by deferring accuracy in the calculation of the arctangent function until the final recursion.
ISBN:142441279X
9781424412792
DOI:10.1109/TPSD.2007.4380389