Open Access
An Exact Variance Expression of Pisarenko’s Method for Frequency Estimation of a Single Real Sinusoid: Random Phase Case
Betofe Mboyo  Keyta  1, Erdoğan  Dilaveroğlu  2*
1Bursa Uludağ University  , Bursa , Turkey  
2Bursa Uludağ University  , Bursa , Turkey  
* Corresponding author: dilaver@uludag.edu.tr

Presented at the 3rd International Symposium on Innovative Approaches in Scientific Studies (Engineering and Natural Sciences) (ISAS2019-ENS), Ankara, Turkey, Apr 19, 2019

SETSCI Conference Proceedings, 2019, 4, Page (s): 533-536 , https://doi.org/

Published Date: 01 June 2019    | 734     9

Abstract

Several statistical analyses of the Pisarenko harmonic decomposition (PHD) method for frequency estimation of a single real sinusoid in noise have been carried out in the literature. However, all of the analyses consider the phase of the sinusoid as a constant parameter which does not change from one snapshot to another. In this paper, it is assumed that the phase is a random variable uniformly distributed in an interval of length 2 . With the use of a simple variance analysis technique, an exact expression of the PHD frequency variance is derived. An approximate PHD variance formula for sufficiently large data lengths and signal-to-noise ratios is also given. Computer simulations are included to validate the theoretical development

Keywords - Frequency estimation; Real sinusoid; Pisarenko’s method; Variance analysis

References

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[2] K. W. Chan and H. C. So, “An exact analysis of Pisarenko’s singletone frequency estimation algorithm,” Signal Processing, vol. 83, no.3, pp. 685-690, March 2003.

[3] H. C. So, Y. T. Chan, K. C. Ho, and Yuan Chen, “Simple formulas for bias and mean square error computation,” IEEE Signal Processing Magazine, vol. 30, no. 4, pp. 162-165, July 2013.

[4] A. Papoulis, Probability, Random Variables, and Stochastic Processes, 3rd ed., New York: McGraw-Hill, 1991.

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